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

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dc.contributor.authorAdesoye Idowu Abioye
dc.contributor.authorMfon David Umoh
dc.contributor.authorOlumuyiwa James Peter
dc.contributor.authorHelen Olaronke Edogbanya
dc.contributor.authorFestus Abiodun Oguntolu
dc.contributor.authorOshinubi Kayode
dc.contributor.authorSylvanus Amadiegwu
dc.date.accessioned2025-05-04T16:31:55Z
dc.date.issued2021
dc.description.abstractIn 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.
dc.identifier.citationA. 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.
dc.identifier.doi10.28919/cmbn/5144
dc.identifier.issn2052-2541
dc.identifier.urihttp://repository.futminna.edu.ng:4000/handle/123456789/1794
dc.language.isoen
dc.publisherSCIK Publishing Corporation
dc.relation.ispartofCommunications in Mathematical Biology and Neuroscience
dc.subjectforecasting
dc.subjectCOVID-19
dc.subjectpandemic
dc.subjectprophet package
dc.subjectstatistical data
dc.titleForecasting of COVID-19 pandemic in Nigeria using real statistical data
dc.typejournal-article

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