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

Domaine:

healthcare

Type de record:

paper
Créateur:
NdiBalSec
Éditeur:
arXiv
Hôte:avatar
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.

Visit

doi.orgarxiv.org

Tags

Populations and Evolution (q-bio.PE)Machine Learning (stat.ML)FOS: Biological sciencesFOS: Biological sciencesFOS: Computer and information sciencesFOS: Computer and information sciences

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

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