Abstract：This article uses Crystal Ball and GIS software to explore the spatial and temporal characteristics of the COVID-19 during 25th January to 8th April in Hubei Province， China， by means of distribution fitting data， batch fitting， spatial autocorrelation and mathematical statistical analyses. The results are listed as follow.1) Temporally， the epidemic of COVID-19 in Hubei Province evolved three stages： pandemic climax (26th Janurary-3rd February)， continuous decline (3rd February-10th March) and achievement consolidation (10th March-8th April)， till to final success， and this procedure featured uncertain， spatially leaping， non-seasonal and policy intervention sensitive.2) Spatially， Hubei Province witnessed random distribution of daily new casesand the local spatial autocorrelation analysis result implied that Wuhan was the only region showing high-low spread feature in Hubei Province.3) In terms of infection rate (cases per 10,000 dwellers)， cities and prefectures in Hubei are able to be divided into three risk areas with significant spatial characteristics. Wuhan and its neighboring city Ezhou belonged to the high-risk area with highest infection rate， and they were mostly semi-enclosed by the medium-risk cities and prefectures such as Xiaogan and Suizhou. And the high-risk and medium-risk cities are mostly city members of Wuhan Metropolitan Area. Nearly all the low-risk tier cities and prefectures with lowest infection rate were part of mountainous western Hubei.Hubei Province also witnessed a spatial correlation between these three tiers.4) Spatially， Wuhan，the most dominant and severest virus-hit city in Hubei， had always determined the spread of coronavirus and final outcomes of epidemic prevention in Hubei Province. This research supported the government's right policies and measures. Finally， future epidemic prevention and control strategies and measures were then discussed.
吕振华,程绍文. 基于Crystal Ball和GIS的湖北省新冠疫情时空特征研究[J]. 华中师范大学学报(自然科学版), 2020, 54(6): 1059-1071.
LYU Zhenhua,CHENG Shaowen. Research on the temporal and spatial characteristics of the COVID-19 in Hubei Province with the use of Crystal Ball and GIS. journal1, 2020, 54(6): 1059-1071.
2020, Vol. 54 
