基于多隔离策略的新冠肺炎疫情建模及分析.

Aiming at the outbreak of COVID-19 (corona virus disease 2019)， considering multi-isolation measures， a non-linear infectious disease model was established to study the trend of COVID-19. Comparing the data in China of the COVID-19 with the results of simulation experiments， the isolation measures are important for the prevention and control of COVID-19. The results showed that if the isolation measures were implemented one week later， the number of infected persons in the entire epidemic would increase almost 7 times. In addition， the measure for newly confirmed clinical cases in Hubei Province is analyzed by simulation experiments. The results showed that the measure effectively solved the problem of previously missed cases and can greatly speed up the extinction of the epidemic. Then， the subsequent official data of COVID-19 also agreed with the simulation results. [ABSTRACT FROM AUTHOR]