A Dual-Layer Network Dynamics Modeling and Simulation of Medical Surge Risk Diffusion Based on MATLAB and REPAST
- VernacularTitle:基于MATLAB与REPAST的医疗浪涌风险扩散双层网络动力学建模与仿真
- Author:
Nan MENG
1
;
Yanping WANG
;
Yiran GAO
;
Tian YU
;
Min WEI
;
Wanmeng TENG
;
Peng WANG
;
Fengqian ZHONG
;
Lili JIANG
;
Jialin LU
;
Ning NING
;
Avdeev SERGEY
;
Qunhong WU
Author Information
1. 哈尔滨医科大学卫生管理学院 黑龙江 哈尔滨 150081
- Publication Type:Journal Article
- Keywords:
medical surge;
risk propagation;
network dynamics;
simulation
- From:
Chinese Hospital Management
2025;45(11):22-27
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.
