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ir.bowen.edu.ng:8181/jspui/handle/123456789/2313
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DC Field | Value | Language |
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dc.contributor.author | Inegbedion, H. E. | - |
dc.date.accessioned | 2024-02-01T14:40:56Z | - |
dc.date.available | 2024-02-01T14:40:56Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Inegbedion, H. (2023). A time series forecast of COVID-19 infections, recoveries and fatalities in Nigeria. Sustainability, 15(9), 7324. | en_US |
dc.identifier.uri | ir.bowen.edu.ng:8181/jspui/handle/123456789/2313 | - |
dc.description.abstract | The study investigated COVID-19 pandemic infections, recoveries, and fatalities in Nigeria to forecast future values of infections, recoveries, and fatalities and thus ascertain the extent to which the pandemic appeared to be converging with time. The prediction of COVID-19 infections, recoveries, and fatalities was necessitated by the impact that the pandemic had exerted in world economies since its outbreak in late 2019. The quantitative method was employed, and a longitudinal research design was applied. Data were obtained from the Nigeria Centre for Disease Control(NCDC). The least-squares test and autoregressive distributed lag (ARDL) tests were performed to forecast infections, recoveries, and fatalities. The results of the predicted infections for the last five months of the year (August–December 2020) shows that the cases of infections will narrow down within the period. The need for policymakers to implement complete unlocking of the economy for speedy economic recovery was suggested, among others. | en_US |
dc.language.iso | en | en_US |
dc.subject | COVID-19 pandemic | en_US |
dc.subject | COVID-19 infection in Nigeria | en_US |
dc.subject | COVID-19 recoveries in Nigeria | en_US |
dc.subject | COVID-19 fatalities in Nigeria | en_US |
dc.subject | COVID-19 convergence in Nigeria | en_US |
dc.title | A time series forecast of COVID-19 infections, recoveries and fatalities in Nigeria | en_US |
dc.type | Article | en_US |
Appears in Collections: | Articles |
Files in This Item:
File | Description | Size | Format | |
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Article_A_Time Series Forecast.pdf | Econometrics | 2.77 MB | Adobe PDF | View/Open |
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