Time Series Analysis and Forecast of COVID-19 Data in Southern African Countries

Harouna Sangaré and Abdou Fané
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Harouna Sangaré: University of Sciences, Techniques and Technologies of Bamako (USTTB), Mali
Abdou Fané: University of Sciences, Techniques and Technologies of Bamako (USTTB), Mali

European Journal of Mathematics and Statistics, 2022, vol. 3, issue 5, 39-50

Abstract: In this paper, we begin by analyzing different time series COVID-19 data by exploring confirmed, death and recovered daily reports from January 22, 2020 to September 2nd, 2021 in the southern African counties. We then use the Prophet model to forecast the total numbers of infected cases from September 3rd, 2021 to December 1st, 2021 by providing graphics and by giving tables containing the total numbers of infected cases from November 27, 2021 to December 1st, 2021 for each country in the zone.

Keywords: COVID 19; data analysis; forecast; prophet model; time series (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejmath:v:3:y:2022:i:5:id:14061

DOI: 10.24018/ejmath.2022.3.5.61

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