Forecasting COVID-19 Confirmed Cases: Time Series Analysis Perspective

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Jubril Oluwatoyin Fantola
Olukunmi Olatunji Akanni

Abstract

COVID-19 is the cause of a new global pandemic threatening millions of lives as it continues to spread internationally. Forecasting the spread of COVID-19 is an analytical and challenging real-world problem to the research community. The study adopted time series model to forecast the cases of COVID-19 using weekly cases of COVID-19 from Nigeria Centre for Disease Control. The model developed and the forecasted results align very closely with the actual number of cases as there is need to put all hands on deck to curtail the spread of the virus.

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How to Cite
Fantola, J. O., & Akanni, O. O. (2021). Forecasting COVID-19 Confirmed Cases: Time Series Analysis Perspective. The International Journal of Science & Technoledge, 9(5). https://doi.org/10.24940/theijst/2021/v9/i5/ST2105-015