ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data

The World Health Organization (WHO) upgraded the status of the coronavirus disease 2019 (COVID-19) outbreak from epidemic to global pandemic on March 11, 2020. Various mathematical and statistical models have been proposed to predict the spread of COVID-2019 [1]. We collated data on daily new confir...

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Autores principales: Duan, Xingde, Zhang, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Medicine and Dentistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248635/
https://www.ncbi.nlm.nih.gov/pubmed/32537480
http://dx.doi.org/10.1016/j.dib.2020.105779
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author Duan, Xingde
Zhang, Xiaolei
author_facet Duan, Xingde
Zhang, Xiaolei
author_sort Duan, Xingde
collection PubMed
description The World Health Organization (WHO) upgraded the status of the coronavirus disease 2019 (COVID-19) outbreak from epidemic to global pandemic on March 11, 2020. Various mathematical and statistical models have been proposed to predict the spread of COVID-2019 [1]. We collated data on daily new confirmed cases of the COVID-19 outbreaks in Japan and South Korea from January 20, 2020 to April 26, 2020. Auto Regressive Integrated Moving Average (ARIMA) model were introduced to analyze two data sets and predict the daily new confirmed cases for the 7-day period from April 27, 2020 to May 3, 2020. Also, the forecasting results and both data sets are provided.
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spelling pubmed-72486352020-05-26 ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data Duan, Xingde Zhang, Xiaolei Data Brief Medicine and Dentistry The World Health Organization (WHO) upgraded the status of the coronavirus disease 2019 (COVID-19) outbreak from epidemic to global pandemic on March 11, 2020. Various mathematical and statistical models have been proposed to predict the spread of COVID-2019 [1]. We collated data on daily new confirmed cases of the COVID-19 outbreaks in Japan and South Korea from January 20, 2020 to April 26, 2020. Auto Regressive Integrated Moving Average (ARIMA) model were introduced to analyze two data sets and predict the daily new confirmed cases for the 7-day period from April 27, 2020 to May 3, 2020. Also, the forecasting results and both data sets are provided. Elsevier 2020-05-26 /pmc/articles/PMC7248635/ /pubmed/32537480 http://dx.doi.org/10.1016/j.dib.2020.105779 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Medicine and Dentistry
Duan, Xingde
Zhang, Xiaolei
ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title_full ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title_fullStr ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title_full_unstemmed ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title_short ARIMA modelling and forecasting of irregularly patterned COVID-19 outbreaks using Japanese and South Korean data
title_sort arima modelling and forecasting of irregularly patterned covid-19 outbreaks using japanese and south korean data
topic Medicine and Dentistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248635/
https://www.ncbi.nlm.nih.gov/pubmed/32537480
http://dx.doi.org/10.1016/j.dib.2020.105779
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