全国新型冠状病毒肺炎空间分布及空间聚集性浅析

A brief Analysis of the Spatial Distribution and Clustering of COVID-19 in China

目的探索新型冠状病毒肺炎(COVID-19)在地级行政区层面的空间分布、空间聚集性及在不同时期的分布特征。方法收集全国地级行政区(直辖市、特别行政区)COVID-19确诊的相关信息和数据,运用空间自相关方法对COVID-19确诊情况进行空间统计分析。结果1月24日、1月29日和2月8日COVID-19累计确诊病例与2月8日COVID-19新增确诊病例具有全局空间正相关性,局部空间自相关结果显示不同时间点的COVID-19累计确诊病例与新增确诊病例空间分布有所不同。结论COVID-19累计确诊病例与新增确诊病例全国分布具有空间聚集性,确定COVID-19的高值聚集地区,将为进一步采取防控措施提供参考。

Objective To explore the spatial distribution,spatial clustering and distribution characteristics of COVID-19 in different periods at the prefectural level.Methods The relevant information and data of confirmed cases of COVID-19 in prefecture-level administrative regions(municipalities directly under the Central Government and Special Administrative region)were collected,and the spatial autocorrelation method was used to analyze the confirmed cases of COVID-19.Results The cumulative confirmed cases of COVID-19 on January 24,29th and February 8th and the newly confirmed cases of COVID-19 on February 8th showed obvious positive spatial autocorrelation.Local spatial autocorrelation analysis showed that the spatial distribution of cumulative confirmed cases of COVID-19 at different time points was different from that of newly confirmed cases.Conclusion The national distribution of cumulative confirmed cases and newly confirmed cases of COVID-19 has spatial clustering.Determining the high value clustering area of COVID-19 will provide reference for further prevention and control measures.