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Prediction of daily COVID-19 cases in European countries using automatic ARIMA model
The recent pandemic (COVID-19) emerged in Wuhan city of China and after causing a lot of destruction there recently changed its epicenter to Europe. There are countless people affected and reported cases are increasing day by day. Predictive models need to consider previous reported cases and foreca...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PAGEPress Publications, Pavia, Italy
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445441/ https://www.ncbi.nlm.nih.gov/pubmed/32874964 http://dx.doi.org/10.4081/jphr.2020.1765 |
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author | Awan, Tahir Mumtaz Aslam, Faheem |
author_facet | Awan, Tahir Mumtaz Aslam, Faheem |
author_sort | Awan, Tahir Mumtaz |
collection | PubMed |
description | The recent pandemic (COVID-19) emerged in Wuhan city of China and after causing a lot of destruction there recently changed its epicenter to Europe. There are countless people affected and reported cases are increasing day by day. Predictive models need to consider previous reported cases and forecast the upcoming number of cases. Automatic ARIMA, one of the predictive models used for forecasting contagions, was used in this study to predict the number of confirmed cases for next 10 days in four top European countries through R package “forecast”. The study finds that Auto ARIMA applied on the sample satisfactorily forecasts the confirmed cases of coronavirus for next ten days. The confirmed cases for the four countries show an increasing trend for the next ten days with Spain with a highest number of expected new confirmed cases, followed by Germany and France. Italy is expected to have lowest number of new confirmed cases among the four countries. |
format | Online Article Text |
id | pubmed-7445441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PAGEPress Publications, Pavia, Italy |
record_format | MEDLINE/PubMed |
spelling | pubmed-74454412020-08-31 Prediction of daily COVID-19 cases in European countries using automatic ARIMA model Awan, Tahir Mumtaz Aslam, Faheem J Public Health Res Article The recent pandemic (COVID-19) emerged in Wuhan city of China and after causing a lot of destruction there recently changed its epicenter to Europe. There are countless people affected and reported cases are increasing day by day. Predictive models need to consider previous reported cases and forecast the upcoming number of cases. Automatic ARIMA, one of the predictive models used for forecasting contagions, was used in this study to predict the number of confirmed cases for next 10 days in four top European countries through R package “forecast”. The study finds that Auto ARIMA applied on the sample satisfactorily forecasts the confirmed cases of coronavirus for next ten days. The confirmed cases for the four countries show an increasing trend for the next ten days with Spain with a highest number of expected new confirmed cases, followed by Germany and France. Italy is expected to have lowest number of new confirmed cases among the four countries. PAGEPress Publications, Pavia, Italy 2020-07-08 /pmc/articles/PMC7445441/ /pubmed/32874964 http://dx.doi.org/10.4081/jphr.2020.1765 Text en ©Copyright: the Author(s) http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Awan, Tahir Mumtaz Aslam, Faheem Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title | Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title_full | Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title_fullStr | Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title_full_unstemmed | Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title_short | Prediction of daily COVID-19 cases in European countries using automatic ARIMA model |
title_sort | prediction of daily covid-19 cases in european countries using automatic arima model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445441/ https://www.ncbi.nlm.nih.gov/pubmed/32874964 http://dx.doi.org/10.4081/jphr.2020.1765 |
work_keys_str_mv | AT awantahirmumtaz predictionofdailycovid19casesineuropeancountriesusingautomaticarimamodel AT aslamfaheem predictionofdailycovid19casesineuropeancountriesusingautomaticarimamodel |