COVID-19 Propagation Prediction Model Based on Machine Learning

ABSTRACT

The continuous spread of COVID-19 virus around the world has exerted a great impact on the world’s economy and security. China took the lead in responding to the epidemic with a positive attitude and contributed valuable experience to the fight against the epidemic for people around the world Based on the COVID-19 epidemic data published by the National Health Commission, this study established a time series of the number of newly diagnosed patients on a daily basis. The SIR model of transmission dynamics was used to determine the trend and inflection point of the epidemic, and the SVR algorithm was used to reasonably predict and analyze the number of newly diagnosed patients on a daily basis.