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ARTICLE

Statistical Modeling and Forecast of the Corona-Virus Disease (Covid-19) in Burkina Faso

  • International Journal of Statistics and Probability , 09 (6) : 76-89
Lien de l'article :
Discipline : Mathématiques
Auteur(s) :
Renseignée par : KONANE Fourtoua Victorien

Résumé

In this paper, we present and discuss a statistical modeling framework for the coronavirus COVID-19 epidemic in Burkina Faso. We give a detailed analysis of well-known models, the ARIMA and the Exponential Smoothing model.
The main purpose is to provide a prediction of the cumulative number of confirmed cases to help authorities to take better decision.
We made prediction of the cumulative number of cases from 4th may to 2nd June.

Mots-clés

COVID-19, ARIMA models, Exponential smoothing models, Forecasting

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