Author: Balde, M. A. M. T.
Title: Fitting SIR model to COVID-19 pandemic data and comparative forecasting with machine learning Cord-id: hr2g5ww6 Document date: 2020_5_1
ID: hr2g5ww6
Snippet: In this work, we use a classical SIR model to study COVID-19 pandemic. We aim to deal with the SIR model fitting to COVID-19 data by using different technics and tools. We particularly use two ways: the first one start by fitting the total number of the confirmed cases and the second use a parametric solver tool. Finally a comparative forecasting, machine learning tools, is given.
Document: In this work, we use a classical SIR model to study COVID-19 pandemic. We aim to deal with the SIR model fitting to COVID-19 data by using different technics and tools. We particularly use two ways: the first one start by fitting the total number of the confirmed cases and the second use a parametric solver tool. Finally a comparative forecasting, machine learning tools, is given.
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