Study on epidemic prevention and control strategy of COVID-19 based on personnel flow prediction

Abstract

In this paper, a COVID-19 risk prevention and control decision-making model is proposed according to the incompatible characteristics of epidemic risk prediction. Firstly, the uncertainty attribute of epidemic risk was analyzed through the collection of information on the personnel flow, and the problem that the risk of the epidemic could not be accurately predicted due to the uncertainty of the personnel flow was solved, and emergency prevention and control countermeasures were proposed for the possible COVID-19. Secondly, a model of epidemic risk prevention and control analysis is established by using correlation function method, which provides a new research method for risk prevention and control of public health security.