Forecasting of COVID-19 pandemic in Nigeria using real statistical data
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.
- Published
- 6 January 2021
- Volume
- 2021 (2021)
- License
- CC BY 3.0
Copyright © 2021 Adesoye Idowu Abioye, Mfon David Umoh, Olumuyiwa James Peter, Helen Olaronke Edogbanya, Festus Abiodun Oguntolu, Oshinubi Kayode, Sylvanus Amadiegwu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cite this article
A. I. Abioye, M. D. Umoh, O. J. Peter, H. O. Edogbanya, F. A. Oguntolu, O. Kayode, S. Amadiegwu, Forecasting of COVID-19 pandemic in Nigeria using real statistical data, Commun. Math. Biol. Neurosci. 2021 (2021), 2. https://doi.org/10.28919/cmbn/5144
BibTeX
@article{Abioye2021,
author = {Abioye, Adesoye Idowu and Umoh, Mfon David and Peter, Olumuyiwa James and Edogbanya, Helen Olaronke and Oguntolu, Festus Abiodun and Kayode, Oshinubi and Amadiegwu, Sylvanus},
title = {Forecasting of COVID-19 pandemic in Nigeria using real statistical data},
journal = {Commun. Math. Biol. Neurosci.},
volume = {2021},
year = {2021},
pages = {2},
doi = {10.28919/cmbn/5144}
}