Моделирование профилактики эпидемий в сообществах (Simulation of Epidemic Prevention in Communities)

Аннотация

This thesis focuses on modeling and simulating epidemic prevention policies in communities using the SIR model and small-world network. By integrating the SIR model with small-world network models, it offers an accurate representation and simulation of community policies. The study analyzes the characteristics of the SIR model and small-world network, constructs network models, conducts simulation experiments, and provides recommendations for optimizing community epidemic prevention policies based on the results. The novelty lies in the comprehensive utilization of the SIR model, agent-based model, and small-world network model, providing insights into the effectiveness of epidemic prevention policies and the mechanism of disease transmission. The findings provide decision-makers with comprehensive information for informed decision-making and optimizing community prevention strategies.