Abstract: First combining with social media information and the situation of COVID-19 in Wenzhou city, the paper obtain prior knowledge of propagation regularities of epidemic. Based on this, we use DBSCAN adaptive clustering algorithm to analyze the spatio-temporal distribution patterns and evolution regulation of COVID-19 in Wenzhou city. The results show that:①The COVID-19 in Wenzhou city is easy to spread among young and middle-aged people aged 20 to 59, as well as between commercial service personnel, farmers and workers; ②A series of measures against human mobility can effectively prevent the COVID-19 spreading further, so that the number of spatial clusters of COVID-19 in Wenzhou city increase first and then decrease; ③We find that there is a high risk of COVID-19 spread near the Yintai business district which is in Lucheng District, southern of Yueqing city and western of Ruian city. Therefore, we suggest to strengthen the prevention and control of these areas in the later period. This paper analyzes spatio-temporal distribution patterns and evolution regulation of COVID-19 in Wenzhou city in a fine-grained manner, which can better assist Wenzhou government departments to make prevention and control measures for COVID-19.

Key words: COVID-19, spatio-temporal distribution, evolution analysis, adaptive clustering, Wenzhou city