摘要
新型冠状病毒的暴发给全球化进程带来巨大冲击。研究旨在了解新冠肺炎疫情的空间结构、华中地区地级市之间疫情传播的相互联系,探究华中地区在研究时段新冠肺炎疫情的时空演变特征。通过全局空间自相关和局部空间自相关对新冠肺炎疫情的空间分布格局进行分析,利用空间回归分析模型探究疫情空间分布的影响因素。结果显示华中地区疫情总体在时间以及空间上呈现聚集性,武汉市人口迁徙指数以及人口密度对疫情发展作用显著。利用空间分析的方法还可以科学地评价各地受疫情影响的情况,为今后公共卫生部门制定流行病的防控策略提供借鉴意义.
The outbreak of novel coronavirus has brought a great impact on the process of globalization. The purpose of this study is to understand the spatial structure of COVID-19 epidemic situation and the relationship of epidemic transmission among prefecture-level cities in central China, and to explore the temporal and spatial evolution characteristics of COVID-19 epidemic situation in central China during the research period. The spatial distribution pattern of COVID-19epidemic situation was analyzed by global spatial autocorrelation and local spatial autocorrelation, and the spatial regression analysis model was used to explore the factors affecting the spatial distribution of the epidemic. The results show that the epidemic situation in central China is aggregated in time and space, and the population migration index and population density in Wuhan play a significant role in the development of the epidemic. The method of spatial analysis can also be used to evaluate the situation affected by the epidemic scientifically and provide reference for public health departments to formulate epidemic prevention and control strategies in the future.
出处
《科技创新与应用》
2022年第13期30-33,38,共5页
Technology Innovation and Application
关键词
COVID-19
华中地区
时空特征
空间自相关
空间回归分析
COVID-19
Central China
spatio-temporal characteristics
spatial autocorrelation
spatial regression analysis
