Author: Liu, Yunxiang Xiao Yan
Title: COVID-19 Propagation Prediction Model Based on Machine Learning Cord-id: 28yd1plu Document date: 2021_1_1
ID: 28yd1plu
Snippet: 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 transmiss
Document: 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.
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