Analysis of COVID-19 evolution in Senegal: impact of health care capacity

no code implementations • 12 Nov 2020 • Mouhamed M. Fall, Babacar M. Ndiaye, Ousmane Seydi, Diaraf Seck

A condition, depending on the health care capacity and the flux of new hospitalized individuals, to avoid possible overwhelming is provided.

BIG-bench Machine Learning

Visualization and machine learning for forecasting of COVID-19 in Senegal

no code implementations • 6 Aug 2020 • Babacar Mbaye Ndiaye, Mouhamadou A. M. T. Balde, Diaraf Seck

In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data.

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

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