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    http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/15376Full metadata record
| DC Field | Value | Language | 
|---|---|---|
| dc.contributor.author | Abioye, A. I. | - | 
| dc.contributor.author | Umoh, M. D. | - | 
| dc.contributor.author | Peter, O. J. | - | 
| dc.contributor.author | Edogbanya, H. O. | - | 
| dc.contributor.author | Oguntolu, F. A. | - | 
| dc.contributor.author | Kayode, O. | - | 
| dc.contributor.author | Amadiegwu, S. | - | 
| dc.date.accessioned | 2022-12-14T17:40:37Z | - | 
| dc.date.available | 2022-12-14T17:40:37Z | - | 
| dc.date.issued | 2021-06-01 | - | 
| dc.identifier.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 | en_US | 
| dc.identifier.uri | https://scik.org/index.php/cmbn/article/view/5144 | - | 
| dc.identifier.uri | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/15376 | - | 
| dc.description.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. | en_US | 
| dc.language.iso | en | en_US | 
| dc.publisher | Commun. Math. Biol. Neurosci. SCIK Publishing | en_US | 
| dc.subject | forecasting | en_US | 
| dc.subject | COVID-19 | en_US | 
| dc.subject | pandemic | en_US | 
| dc.subject | prophet package | en_US | 
| dc.subject | statistical data | en_US | 
| dc.title | Forecasting of COVID-19 pandemic in Nigeria using real statistical data | en_US | 
| Appears in Collections: | Mathematics | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5144-11814-1-PB.pdf | 563.88 kB | Adobe PDF | View/Open | 
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