Agent-based simulation for a dual-diffusion process of influenza and human preventive behavior
Agent-based simulation for a dual-diffusion process of influenza and human preventive behavior
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DOI：
10.1080/13658816.2011.556121
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发表时间：
2011-09
影响因子：
5.7
通讯作者：
L. Mao;L. Bian
中科院分区：
文献类型：
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作者：
L. Mao;L. Bian
流感疾病通过密切接触从一个人传播到另一个人，而预防行为则通过人际影响传播。这两个扩散过程同时发生，并以相反的方向相互作用。目前许多流感研究都考虑了流感的传播，但很少有研究考虑到人类预防行为的传播。本文提出了一种原始的双扩散模型来耦合这两个扩散过程。该模型的概念框架将这两个相反的过程合并到人类接触网络中。基于主体的方法、网络理论、疾病模型和行为模型被整合以制定概念框架。模型实施模拟了拥有 100 万人的城市化地区的流感流行。模拟结果表明，所提出的模型提供了观测数据的接近表示。研究结果将为流感控制提供更加合理的依据。
Influenza disease diffuses from one individual to another through their close contacts, while preventive behavior propagates through inter-personal influences. These two diffusion processes take place simultaneously and interact with one another in opposite directions. Many current influenza studies consider the diffusion of influenza, but few of them have incorporated the diffusion of human preventive behavior. This article proposes an original dual-diffusion model to couple these two diffusion processes. The conceptual framework of the model incorporates these two opposite processes into a human contact network. An agent-based approach, network theory, disease model, and behavioral model are integrated to formulate the conceptual framework. Model implementation simulates an influenza epidemic in an urbanized area of one million individuals. The simulation results suggest that the proposed model offers a close representation of the observed data. The research findings will provide a more rational basis for influenza control.