摘要
针对新型冠状病毒肺炎迅速蔓延的情况,需要对我国各省累计确诊人数有准确的了解。运用空间统计方法进行分析,揭示了中国各省累计确诊人数的静态空间分布和动态演变规律。选取2020-01-26—2020-02-20病毒逐渐爆发到疫情得到有效控制期间的累计确诊人数的数据进行分析,研究发现:从全局来看,中国各省累计确诊人数于2月3日前呈空间正相关并逐渐降低,2月3日—2月11日呈空间负相关并逐渐增强,2月11日后在空间上呈随机性;从局部聚集特征可以看出:高-低型聚集主要在湖北省,低-高型聚集主要在湖北周围的省份,而与湖北相距较远的省份呈低-低型聚集,并且显著高-低型聚集和低-高型聚集的省份逐渐增多。
Novel coronavirus pneumonia( COVID-19) spreads quickly. We need to have an accurate understanding of the cumulative confirmed count in various provinces in China. The static spatial distribution and dynamic evolution of the cumulative confirmed count in various provinces in China are revealed by using spatial statistical analysis. The data of the cumulative confirmed count from January26 th,2020 to February 20 th,2020,from the outbreak to the control of the virus,is analyzed. The results show the cumulative confirmed count of each province in China has a positive spatial correlation before February 3 th,a negative spatial correlation from February 3 th to February 11 th,and a random distribution in space after February 11 th. Looking at the characteristics of local aggregation in different provinces,the high-low clustering occurs mainly in Hubei,while the low-high clustering mainly in provinces around Hubei and provinces far from Hubei are low-low pattern. In addition,the provinces with significant high-low clustering and low-high clustering gradually increase.
作者
苏理云
郭雯
SU Liyun;GUO Wen(College of Science,Chongqing University of Technology,Chongqing 400054,China)
出处
《重庆理工大学学报(自然科学)》
CAS
北大核心
2020年第4期51-58,65,共9页
Journal of Chongqing University of Technology:Natural Science
基金
教育部人文社会科学研究规划基金项目(19XJA840002)。
作者简介
苏理云,男,博士,教授,主要从事社会经济统计与金融统计研究,E-mail:1093464745@qq.com;郭雯,女,硕士研究生,主要从事社会经济统计研究,E-mail:asdf86245@qq.com。