New Coronary Pneumonia Based on Big Data and China’s Control of the Epidemic

With the explosive growth of data, the value mining of massive data cannot be realized by traditional technology. This article mainly studies the spread of new coronary pneumonia based on big data and China's control of the epidemic. In this study, the location information and time information in the records of each strain were saved in two txt files respectively to prepare data for the establishment of influenza virus transmission network. According to the number of groups participating in the evolutionary game, we will get the corresponding number of replication dynamic equations nonlinear. The stability of the ordinary differential equation system can be used to judge the stability of the nonlinear evolutionary dynamic system of each group in the game model. The χ2 test was used to compare the related rate and composition between groups, and the Pearson correlation was used to analyze the correlation between inoculation rate and morbidity. Experimental data shows that before the epidemic, the average time used for the Schulte grid of college students was 28.10 seconds, with a standard deviation of 5.492. The results show that with the continuous deepening of theoretical research and practical applications, national cyberspace governance will definitely accelerate its development and become more complete.