Author: Sangare, H.; Fane, A.
Title: TIME SERIES ANALYSIS AND FORECASTING OF CoViD-19 DATA: CASE OF THE WEST AFRICAN ECONOMIC AND MONETARY UNION AREA Cord-id: 6nb1i4xv Document date: 2021_1_1
ID: 6nb1i4xv
Snippet: In this paper, we first analyze different time series CoViD-19 data by exploring confirmed, death and recovered daily reports from January 22, 2020 to May 30, 2021 in the West African Economic and Monetary Union (WAEMU) Area. We then use the Prophet model to forecast the total number of infected cases from May 31, 2021 to July 29, 2021 by providing graphics and by giving tables containing the total number of infected cases from July 25 to 29, 2021 for each country in the zone.
Document: In this paper, we first analyze different time series CoViD-19 data by exploring confirmed, death and recovered daily reports from January 22, 2020 to May 30, 2021 in the West African Economic and Monetary Union (WAEMU) Area. We then use the Prophet model to forecast the total number of infected cases from May 31, 2021 to July 29, 2021 by providing graphics and by giving tables containing the total number of infected cases from July 25 to 29, 2021 for each country in the zone.
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