Research on COVID-19 Global Forecast based on SIR Model-ML regression

ABSTRACT

Under the background of the global COVID-19 pandemic, the global COVID-19 epidemic spread was modeled and analyzed, and its future trend was predicted. The dataset covers 163 countries and almost 2 full months from 2020, which is enough data to get some clues about the pandemic. The epidemic situation was predicted by the fusion of SIR model and ML regression, and the results showed that the model analysis was basically consistent with the real performance of the epidemic development. Finally, the development stage and trend of the epidemic situation are evaluated to provide a basis for the government to formulate relevant epidemic prevention policies. © Published under licence by IOP Publishing Ltd.