Forecasting of COVID-19 pandemic in Nigeria using real statistical data
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
SCIK Publishing Corporation
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.
Description
Keywords
forecasting, COVID-19, pandemic, prophet package, statistical data
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 https://doi.org/10.28919/cmbn/5144.