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http://ir.futminna.edu.ng:8080/jspui/handle/123456789/15376| Title: | Forecasting of COVID-19 pandemic in Nigeria using real statistical data |
| Authors: | Abioye, A. I. Umoh, M. D. Peter, O. J. Edogbanya, H. O. Oguntolu, F. A. Kayode, O. Amadiegwu, S. |
| Keywords: | forecasting COVID-19 pandemic prophet package statistical data |
| Issue Date: | 1-Jun-2021 |
| Publisher: | Commun. Math. Biol. Neurosci. SCIK Publishing |
| Citation: | A. I. Abioye, M. D. Umoh, O. J. Peter, H. O. Edogbanya, F. A. Oguntolu, O. Kayode & S. Amadiegwu. (2021). Forecasting of COVID-19 pandemic in Nigeria using real statistical data. Commun. Math. Biol. Neurosci., 2021, Article-ID.2 |
| 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://scik.org/index.php/cmbn/article/view/5144 http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15376 |
| Appears in Collections: | Mathematics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5144-11814-1-PB.pdf | 563.88 kB | Adobe PDF | View/Open |
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