Please use this identifier to cite or link to this item: http://repository.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

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