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

Babacar Mbaye Ndiaye; Mouhamadou A. M. T. Balde; Diaraf Seck

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arXiv · 2008.03135

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

Babacar Mbaye Ndiaye·Mouhamadou A. M. T. Balde·Diaraf Seck

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Abstract

In this article, we give visualization and different machine learning technics for two weeks and 40 days ahead forecast based on public data. On July 15, 2020, Senegal reopened its airspace doors, while the number of confirmed cases is still increasing. The population no longer respects hygiene measures, social distancing as at the beginning of the contamination. Negligence or tiredness to always wear the masks? We make forecasting on the inflection point and possible ending time.

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Babacar Mbaye Ndiaye, Mouhamadou A. M. T. Balde, Diaraf Seck. 2020-08-06. Visualization and machine learning for forecasting of COVID-19 in Senegal. https://arxiv.org/abs/2008.03135

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