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.
Highlights
The outbreak of COVID-19 is a key event affecting the world economy, health and safety
Suppose that when medical resources are scarce, the worse case is that the infection coefficient and the isolation degree of the confirmed person is the same as the latent person. It can be seen from the results in Figure 2 that COVID-19 will be out of control
Based on novel corona virus pneumonia theory, from the perspective of stakeholders, we study the response and control responsibility index system of major public health emergencies taking COVID-19 as an example
Summary
The outbreak of COVID-19 is a key event affecting the world economy, health and safety. In view of the influence of different institutional cultures, the spreading and diffusion mode of COVID-19 and the handling mode and control effect of COVID-19 are very different, and the reason for the difference is not very clear It is of great theoretical and practical significance to conduct in-depth research on the future policy guidance timely around the "main clue" of COVID-19 prevention mode and effect of different countries in different cultural systems, combined with the background of the current Internet public opinion communication as the "shadow clue", using the interdisciplinary analysis method. It can be seen from the table that the ratio of retained confirmed patients to the number of open beds was 2.2 at the maximum. The critical point of COVID-19 can be defined as the time when the ratio of confirmed diagnosis to the number of beds available for confirmed patients is equal to 2.2
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