从复杂适应系统的观点，通过建立元胞自动机模型的方法模拟疾病传播这个复杂的过程。
Based on the theory of complexity adaptive system, we build a cellular automata model to simulate the complex process of epidemic spread.
易染/感染/免疫模型模拟的是疾病在医院内的蔓延。
The Susceptible/Infected/Recovered (SIR) Model simulates the spread of a disease within a hospital.
他们将跟踪数据编制成高清晰度社交网络，用计算机模型模拟像流感这样的疾病在学校的传播。
Then they compiled the tracking data into a high-resolution social contact network and used a computer model to simulate the spread of a flu-like disease throughout the school.
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