传染病意识传播对传染病传播具有重要影响，且在不同稠密度人群中影响程度有

The spread of infectious disease awareness has an important impact on the spread of infectious diseases, and the degree of influence varies among people of different densities. Therefore, this paper establishes a UAU-SIS model that conforms to this phenomenon, defines the interaction and propagation rules between individuals, and uses ABM simulation modeling method to study the spread of infectious disease awareness in different neighborhood types from the individual level The dynamic impact of layers. The simulation experiment is carried out under the Repast Simphony 2.7 development platform, and the experimental data is sorted and analyzed using the R-based ggplot2 package. The results show that: the awareness exchange between individuals within the consciousness level and the increase in the recovery rate of individuals at the transmission level can reduce the scale of the spread of infectious diseases. At the same time, sparse networks can alleviate the spread of infectious diseases to some extent. On the basis of theoretical results, the study puts forward feasible countermeasures and suggestions, with a view to proposing a more efficient management plan for the control of infectious diseases.

The spread of infectious disease awareness has an important impact on the spread of infectious diseases, and the degree of influence varies among the populations with different densities. Therefore, this paper establishes the UAU-SIS model which conforms to this phenomenon, defines the rules of interaction and transmission between individuals, and uses ABM simulation modeling method to study the dynamic influence of the infectious disease consciousness layer of different neighborhood types on the infectious disease transmission layer from the individual level. The simulation experiment was carried out under the Repast Simphony 2.7 development platform, and the experimental data were collated and analyzed using R-based gggplot2 package. The results show that the increase of consciousness communication and the recovery rate of individuals in the communication layer can reduce the scale of the spread of infectious diseases. At the same time, sparse networks can alleviate the spread of infectious diseases to some extent. On the basis of theoretical results, the research puts forward feasible countermeasures and suggestions, with a view to putting forward more efficient management schemes for the control of infectious diseases.

The spread of awareness of infectious diseases has an important impact on the spread of infectious diseases, and the degree of influence is different in different density groups. Therefore, this paper establishes the uau-sis model which is consistent with this phenomenon, defines the interaction and propagation rules between individuals, and studies the dynamic influence of infectious disease awareness level on infectious disease transmission layer from the individual level by using the method of ABM simulation modeling. The simulation experiment is carried out under repast Simphony 2.7 development platform, and the experimental data is sorted and analyzed by using ggplot2 package based on R. The results show that: the communication of consciousness among individuals in the consciousness level and the improvement of the rehabilitation rate of individuals in the communication layer can reduce the scale of the spread of infectious diseases. At the same time, sparse network can alleviate the spread of infectious diseases to some extent. On the basis of the theoretical results, the study puts forward feasible countermeasures and suggestions, in order to put forward more efficient management scheme for infectious disease control.<br>