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Short-term prediction model for daily COVID-19 reported positive cases in Senegal

Domaine:

healthcare

Type de record:

paper
Créateur:
AbaAbdCheIbrahima FAYE
Éditeur:
Sta
Hôte:
In this work, we use an Auto-Regressive Integrated Moving Average (ARIMA) model to study the evolution of COVID-19 disease in Senegal and then make short-term predictions about the number of people likely to be infected by the coronavirus. We are dealing with daily data provided by the Senegalese Ministry of Health during the period from March 2, 2020 to March 2, 2021.Our results show that the peak of the disease appearsduring the second wave seems to be reached on February 12 2021. But they also show that the number of COVID-19 infections will be around 200 cases per day during the next 30 days if the trend of the total number of tests performed is maintained.

Visit

doi.org

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