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http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/13929| Title: | Forecasting of COVID-19 pandemic in Nigeria using real statistical data |
| Authors: | Abioye, Adesoye Idowu Umoh, Mfon David Peter, Olumuyiwa James Edogbanya, Helen Olaronke Oguntolu, Festus Abiodun Kayode, Oshinubi Amadiegwu, Sylvanus |
| Keywords: | forecasting COVID-19 pandemic prophet package statistical data |
| Issue Date: | Jun-2021 |
| Publisher: | SCIK Publishing |
| Citation: | Abioye, A. I., Umoh, M. D., Peter, O. J., Edogbanya, H. O., Oguntolu, F. A., Kayode, O., & Amadiegwu, S. (2021). Forecasting of COVID-19 pandemic in Nigeria using real statistical data. Commun. Math. Biol. Neurosci., 2021, Article-ID2 |
| Abstract: | In this paper, we used data released by Nigeria Center for Disease Control (NCDC) every 24 hours for the past consecutive two months to forecast the Coronavirus disease 2019 (COVID-19) cases for the months (September – October 2020). The linear regression forecasting model and R software package are used for the forecast and simulations respectively. The COVID-19 cases in Nigeria is on a decreasing trend and the forecast result show that in the next two months, there is going to be a decrease in new COVID-19 cases in Nigeria. COVID-19 in Nigeria can be drastically reduced if the organizations, management, government or policymakers are constantly proactive concerning these research findings. |
| URI: | https://doi.org/10.28919/cmbn/5144 http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13929 |
| ISBN: | 2052-2541 |
| Appears in Collections: | Mathematics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Forecasting of COVID-19 pandemic in Nigeria using real statistical data.pdf | 563.88 kB | Adobe PDF | View/Open |
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