Abstract: In order to improve abilities to prevent and control COVID-19, its mechanism and characteristics were studied from a socio-economic perspective by using disaster evolution theory and methods, and corresponding measures about risk prevention and control were proposed. Firstly, An evolution network of COVID-19 crisis events was constructed through case analysis from a socio-economic perspective before these events were further graded and classified according to gradual sequence. Then, degree of entry and exit of crisis event nodes and its evolution mode were analyzed for the evolutionary network. Moreover, some governance strategies and measures were proposed. The results show that the crisis event of "decline in business efficiency" caused by COVID-19 is the most threatening while cyclical evolution method during crisis evolution has the greatest impact on social and economic activities. In response to COVID-19, characteristics of different evolutionary models could be considered and utilized to block and prevent inducing conditions of crisis events.

Key words: socio-economic, coronavirus disease 2019 (COVID-19), crisis deduction, risk prevention and control, evolution network