Forecasting of COVID-19 Epidemic Process by Lasso Regression

The coronavirus epidemic has changed the life of the whole world. Containment of the further development of the pandemic requires the implementation of effective evidence-based control measures. For this, it is advisable to use mathematical modeling. The most accurate predictions are shown by machine learning methods. The article discusses a lasso regression model for predicting the dynamics of a new coronavirus in Ukraine, Great Britain, Germany and Japan. The model shows high accuracy. The disadvantage of this approach is the impossibility of identifying the factors influencing the dynamics of morbidity.