Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/15376
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAbioye, A. I.-
dc.contributor.authorUmoh, M. D.-
dc.contributor.authorPeter, O. J.-
dc.contributor.authorEdogbanya, H. O.-
dc.contributor.authorOguntolu, F. A.-
dc.contributor.authorKayode, O.-
dc.contributor.authorAmadiegwu, S.-
dc.date.accessioned2022-12-14T17:40:37Z-
dc.date.available2022-12-14T17:40:37Z-
dc.date.issued2021-06-01-
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.2en_US
dc.identifier.urihttps://scik.org/index.php/cmbn/article/view/5144-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/15376-
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.en_US
dc.language.isoenen_US
dc.publisherCommun. Math. Biol. Neurosci. SCIK Publishingen_US
dc.subjectforecastingen_US
dc.subjectCOVID-19en_US
dc.subjectpandemicen_US
dc.subjectprophet packageen_US
dc.subjectstatistical dataen_US
dc.titleForecasting of COVID-19 pandemic in Nigeria using real statistical dataen_US
Appears in Collections:Mathematics

Files in This Item:
File Description SizeFormat 
5144-11814-1-PB.pdf563.88 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.