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Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization
This study modelled the reported daily cumulative confirmed, discharged and death Coronavirus disease 2019 (COVID-19) cases using six econometric models in simple, quadratic, cubic and quartic forms and an autoregressive integrated moving average (ARIMA) model. The models were compared employing R-s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837195/ https://www.ncbi.nlm.nih.gov/pubmed/33520627 http://dx.doi.org/10.1016/j.rinp.2020.103763 |
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author | Nwosu, Ugochinyere Ihuoma Obite, Chukwudi Paul |
author_facet | Nwosu, Ugochinyere Ihuoma Obite, Chukwudi Paul |
author_sort | Nwosu, Ugochinyere Ihuoma |
collection | PubMed |
description | This study modelled the reported daily cumulative confirmed, discharged and death Coronavirus disease 2019 (COVID-19) cases using six econometric models in simple, quadratic, cubic and quartic forms and an autoregressive integrated moving average (ARIMA) model. The models were compared employing R-squared and Root Mean Square Error (RMSE). The best model was used to forecast confirmed, discharged and death COVID-19 cases for October 2020 to February 2021. The predicted number of confirmed and death COVID-19 cases are alarming. Good planning and innovative approaches are required to prevent the forecasted alarming infection and death in Ivory Coast. The applications of findings of this study will ensure that the COVID-19 does not crush the Ivory Coast’s health, economic, social and political systems. |
format | Online Article Text |
id | pubmed-7837195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78371952021-01-26 Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization Nwosu, Ugochinyere Ihuoma Obite, Chukwudi Paul Results Phys Article This study modelled the reported daily cumulative confirmed, discharged and death Coronavirus disease 2019 (COVID-19) cases using six econometric models in simple, quadratic, cubic and quartic forms and an autoregressive integrated moving average (ARIMA) model. The models were compared employing R-squared and Root Mean Square Error (RMSE). The best model was used to forecast confirmed, discharged and death COVID-19 cases for October 2020 to February 2021. The predicted number of confirmed and death COVID-19 cases are alarming. Good planning and innovative approaches are required to prevent the forecasted alarming infection and death in Ivory Coast. The applications of findings of this study will ensure that the COVID-19 does not crush the Ivory Coast’s health, economic, social and political systems. The Authors. Published by Elsevier B.V. 2021-01 2020-12-24 /pmc/articles/PMC7837195/ /pubmed/33520627 http://dx.doi.org/10.1016/j.rinp.2020.103763 Text en © 2021 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Nwosu, Ugochinyere Ihuoma Obite, Chukwudi Paul Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title | Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title_full | Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title_fullStr | Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title_full_unstemmed | Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title_short | Modeling Ivory Coast COVID-19 cases: Identification of a high-performance model for utilization |
title_sort | modeling ivory coast covid-19 cases: identification of a high-performance model for utilization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837195/ https://www.ncbi.nlm.nih.gov/pubmed/33520627 http://dx.doi.org/10.1016/j.rinp.2020.103763 |
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