COVID-19 Spread Forecasting, Mathematical Methods vs. Machine Learning, Moscow Case

COVID-19 Spread Forecasting, Mathematical Methods vs. Machine Learning, Moscow Case

To predict the spread of the new coronavirus infection COVID-19, the critical values of spread indicators have been determined for deciding on the introduction of restrictive measures using the city of Moscow as an example. A model was developed using classical methods of mathematical modeling based...

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Bibliographic Details
Main Authors: Matvey Pavlyutin, Marina Samoyavcheva, Rasul Kochkarov, Ekaterina Pleshakova, Sergey Korchagin, Timur Gataullin, Petr Nikitin, Mohiniso Hidirova
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
COVID-19
epidemic spreading
forecasting
mathematical methods
machine learning
Online Access:https://www.mdpi.com/2227-7390/10/2/195

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