具有传染病防护意识的个体往往会降低自己被感染的概率，且在稀疏人群更不易

Individuals who have the awareness of infectious disease protection tend to reduce their probability of being infected, and are less likely to be infected in sparse populations. Therefore, this paper establishes a UAU-SIS model that conforms to this phenomenon, defines the interaction and transmission rules between individuals, and uses ABM simulation modeling method to study the following two cases of infectious disease awareness from the individual level. The impact of layers: only dense networks (Moore neighborhood) and sparse networks (Von Neumann neighborhood) when there are strong connections, dense networks and sparse networks when there are both strong and weak connections. 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 communication of consciousness between individuals within the consciousness layer can reduce the spread of infectious diseases and slow down the spread of infectious diseases. Sparse networks and denser networks can slow down the spread of infectious diseases, and when there are weak connections, the spread of infectious diseases can be enhanced to a certain extent. Based on the theoretical results, the research puts forward feasible countermeasures and suggestions, with a view to proposing more efficient management plans for the spread and control of infectious diseases.

Individuals with a sense of infectious disease protection tend to reduce their chances of being infected and are less likely to be infected in sparse populations. Therefore, this paper establishes the UAU-SIS model that conforms to this phenomenon, defines the rules of interaction and communication between individuals, and uses ABM simulation modeling method to study the effects of infectious disease consciousness layer on infectious disease transmission layer from the individual level: Moore neighborhood when only strong connections and Von Neumann neighborhood, dense networks and sparse networks when there are strong and weak connections. 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 communication of consciousness between individuals within the consciousness layer can reduce the spread of infectious diseases and slow down the spread rate, the denser networks of sparse networks can slow the spread of infectious diseases, and the spread of infectious diseases can be enhanced to some extent when there is weak connection. 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 spread and control of infectious diseases.

具有传染病防护意识的个体往往会降低自己被感染的概率，且在稀疏人群更不易被传染。因此，本文建立了与此现象符合的UAU-SIS模型，定义了个体之间的交互及传播规则，利用ABM仿真建模的方法从个体层面研究以下两种情况下传染病意识层对传染病传播层的影响：只有强连接时稠密网络（Moore neighborhood）和稀疏网络（Von Neumann neighborhood），既有强连接又有弱连接时稠密网络和稀疏网络。仿真实验是在Repast Simphony 2.7开发平台下开展，利用基于R的ggplot2包对实验数据进行整理分析。结果表明：意识层内部个体间的意识交流能降低传染病的传播规模并减缓传播速度，稀疏网络较稠密网络能减缓传染病的传播，且存在弱连接时在一定程度上增强传染病的传播。在理论成果的基础之上，研究提出了可行的对策建议，以期为传染病的传播与控制提出更有效率的管理方案。<br>