We use SEIR model of susceptibility-latent-infection (disease)-cure and communication network mechanism, and establish a dynamic system to describe the development and changes of the epidemic situation based on the epidemic data of COVID-19 from 2020 10 to 65438+ in February.

Using MATLAB to calculate the simulation program to solve the related parameters and model results, using statistical indicators to evaluate the error of the results, and then using the model with better evaluation effect to predict the development trend of the epidemic situation in the short and medium term.

Secondly, comprehensive and in-depth data analysis is carried out by combining statistical principles.

We focus on the data of suspicion, diagnosis, serious illness, death, cure, close contacts and medical observation, discuss the internal relationship between the data, and analyze the practical significance of various statistical indicators according to the data, and get useful enlightenment to overcome the epidemic.

Finally, combined with practical factors and theoretical basis, I put forward my humble opinion on overcoming the epidemic situation.

We comprehensively consider the current epidemic situation, national emergency measures and related uncertain factors, and make a long-term judgment on the future development of the epidemic based on the conclusion of mathematical model and data analysis, and give important prevention and control checkpoints and several important time nodes in the process of defeating the epidemic.