Forecasting of COVID-19 pandemic in Nigeria using real statistical data

Adesoye Idowu Abioye, Mfon David Umoh, Olumuyiwa James Peter, Helen Olaronke Edogbanya, Festus Abiodun Oguntolu, Oshinubi Kayode, Sylvanus Amadiegwu

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.


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Published: 2021-01-06

How to Cite this Article:

Adesoye Idowu Abioye, Mfon David Umoh, Olumuyiwa James Peter, Helen Olaronke Edogbanya, Festus Abiodun Oguntolu, Oshinubi Kayode, Sylvanus Amadiegwu, Forecasting of COVID-19 pandemic in Nigeria using real statistical data, Commun. Math. Biol. Neurosci., 2021 (2021), Article ID 2

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.

Commun. Math. Biol. Neurosci.

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