Objective：This study aims to clarify the evolution and space-time clusters of the coronavirus disease 2019（COVID-19）epidemic of Jiangsu，providing evidences for rapid detecting and responding to potential outbreaks. Methods：Epidemic curves and dot maps based on coordinates were applied to display the temporal the spatial evolution process. The nearest neighbor indicator（NNI） was used to estimate the global spatial aggregation of indigenous cases，and Kulldorff space-time scan statistic was performed to detect the space-time clusters at the county level. These analysis were performed by Excel 2010，SatScan 9.6.1 and ArcGIS 10.2. Results：A total of 684 confirmed cases were reported during 2020 in Jiangsu. There were 631 indigenous cases，involving 79.44% counties. The NNI of the indigenous cases was 0.27（P < 0.01），indicating global spatial aggregation. The most likely cluster covered four cities in north Jiangsu，including 21 counties，which emerged between January 26 and February 1（LLR=74.92，RR=5.06，P < 0.01）. Three secondary clusters were detected in south Jiangsu，including 27 counties. In particular，secondary cluster-2 happened in early February. 53 Imported cases involved 28 counties in 11 cities，23 of which were admitted in Nanjing and 9 in Lianyungang. Conclusion：COVID-19 cases concentrated in the south and north Jiangsu，but scattered in middle area. More efforts should be put into precise containments to contain potential local multipoint outbreaks in early stage，especially in the Yangtze River Delta core cities in south area and transport hubs in north area.