Research on COVID-19 based on ARIMA model(Δ)—Taking Hubei, China as an example to see the epidemic in Italy

COVID-19 has spread throughout the world; various forecast models have been used to predict the development of the pandemic. The number of new cases from the outbreak to zero has gone through a complete cycle in Hubei, China, on lockdown over coronavirus. So, we created the time series ARIMA models...

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Detalles Bibliográficos
Autores principales: Yang, Qiuying, Wang, Jie, Ma, Hongli, Wang, Xihao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7313887/
https://www.ncbi.nlm.nih.gov/pubmed/32624404
http://dx.doi.org/10.1016/j.jiph.2020.06.019
Descripción
Sumario:COVID-19 has spread throughout the world; various forecast models have been used to predict the development of the pandemic. The number of new cases from the outbreak to zero has gone through a complete cycle in Hubei, China, on lockdown over coronavirus. So, we created the time series ARIMA models for new cases and new deaths daily during this period. Moreover, these models have been used in Italy, which has the same population conditions and on lockdown as Hubei, in order to predict the epidemic in Italy in the next ten days and provide a theoretical basis for the development of pandemics in some countries in the future.

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