太阳成8722(中国)有限公司-GREEN NO.1

标题: Space-Time Variation and Spatial Differentiation of COVID-19 Confirmed Cases in Hubei Province Based on Extended GWR

作者: Liu, YW (Liu, Yanwen); He, ZY (He, Zongyi); Zhou, X (Zhou, Xia)

来源出版物: ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION  卷: 9  期: 9  文献号: 536  DOI: 10.3390/ijgi9090536  出版年: SEP 2020  

摘要: Clarifying the regional transmission mechanism of COVID-19 has practical significance for effective protection. Taking 103 county-level regions of Hubei Province as an example, and taking the fastest-spreading stage of COVID-19, which lasted from 29 January 2020, to 29 February 2020, as the research period, we systematically analyzed the population migration, spatio-temporal variation pattern of COVID-19, with emphasis on the spatio-temporal differences and scale effects of related factors by using the daily sliding, time-ordered data analysis method, combined with extended geographically weighted regression (GWR). The results state that: Population migration plays a two-way role in COVID-19 variation. The emigrants' and immigrants' population of Wuhan city accounted for 3.70% and 73.05% of the total migrants' population respectively; the restriction measures were not only effective in controlling the emigrants, but also effective in preventing immigrants. COVID-19 has significant spatial autocorrelation, and spatio-temporal differentiation has an effect on COVID-19. Different factors have different degrees of effect on COVID-19, and similar factors show different scale effects. Generally, the pattern of spatial differentiation is a transitional pattern of parallel bands from east to west, and also an epitaxial radiation pattern centered in the Wuhan 1 + 8 urban circle. This paper is helpful to understand the spatio-temporal evolution of COVID-19 in Hubei Province, so as to provide a reference for similar epidemic prevention.

入藏号: WOS:000581739800001

语言: English

文献类型: Article

作者关键词: COVID-19; GTWR; MGWR; spatio-temporal variation; scale effect; Hubei province

地址: [Liu, Yanwen; He, Zongyi] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Yanwen; Zhou, Xia] Hubei Univ Sci & Technol, Sch Resources & Environm Sci & Engn, Xianning 437100, Peoples R China.

通讯作者地址: He, ZY (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: lhgyanzi@whu.edu.cn; 00200385@whu.edu.cn; zhou_xia@mails.ccnu.edu.cn

影响因子：2.239