Impact of control technology on fight against COVID-19

Abstract

Since the outbreak of COVID-19, all countries have taken certain measures to restrain the spread of COVID-19. It is a complex and practical issue to study the measures and effects of the epidemic prevention and control. The spread of the epidemic in different countries has certain characteristics, and the prevention and control models and effects in different countries are also different. In this paper, the key factors affecting the prevention effect of COVID-19 were analyzed by integrating multiple data and using interdisciplinary methods of mathematics, statistics and information management science on the basis of public management, and the system model of influencing factors of COVID-19 was constructed.

Keywords

• data mining
• analysis of internet public opinion
• prevention and control technology