城市无尺度网络模型构建及其在新型冠状病毒肺炎疫情防控中的流行病学意义

Construction of urban scale-free network model and its epidemiological significance in the prevention and control of COVID-19

新型冠状病毒肺炎是当下重要的公共卫生问题。本文利用2020年农历春节前15天各城市流动人口数据建立无尺度网络模型,动态剪切树算法实现城市聚类,得到黑色、红色和青色三大城市模块。黑色模块内城市疫情最为严重,红色其次,青色最轻。黑色模块包含浙江省9座城市,广东省8座城市,且绝大部分位于东南沿海经济带,应作为疫情防控的重点城市。

COVID-19 is a public health emergency currently.In this study,a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules.The epidemic of the cities in the black module was the most serious,followed by the red and the cyan.The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province,most of them located in the southeast coastal economic belt.These cities should be the key cities for epidemic prevention and control.