Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting

no code implementations • 3 Apr 2020 • Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck

This work is a trial in which we propose SIR model and machine learning tools to analyze the coronavirus pandemic in the real world.

BIG-bench Machine Learning

Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models

no code implementations • 24 Apr 2020 • Babacar Mbaye Ndiaye, Lena Tendeng, Diaraf Seck

In this paper, we propose a machine learning technics and SIR models (deterministic and stochastic cases) with numerical approximations to predict the number of cases infected with the COVID-19, for both in few days and the following three weeks.

BIG-bench Machine Learning