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The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period
This study aims to develop a general framework for predicting the duration of the Turning Period (or Turning Phase) for the COVID-19 outbreak in China that started in late December 2019 from Wuhan. A new concept called the Term Structure for Turning Period (instead of Turning Point) is used for this...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197400/ https://www.ncbi.nlm.nih.gov/pubmed/34149967 http://dx.doi.org/10.1016/j.procs.2021.04.064 |
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author | Yuan, George X. Di, Lan Yang, Zheng Qian, Guoqi Qian, Xiaosong Zeng, Tu |
author_facet | Yuan, George X. Di, Lan Yang, Zheng Qian, Guoqi Qian, Xiaosong Zeng, Tu |
author_sort | Yuan, George X. |
collection | PubMed |
description | This study aims to develop a general framework for predicting the duration of the Turning Period (or Turning Phase) for the COVID-19 outbreak in China that started in late December 2019 from Wuhan. A new concept called the Term Structure for Turning Period (instead of Turning Point) is used for this study, and the framework, implemented into an individual SEIR (iSEIR) model, has enabled a timely prediction of the turning period when applied to Wuhan’s COVID-19 epidemic, and provided the opportunity for relevant authorities to take appropriate and timely actions to successfully control the epidemic. By using the observed daily COVID-19 cases in Wuhan from January 23, 2020 to February 6 (and February 10), 2020 as inputs to the framework it allowed us to generate the trajectory of COVID-19 dynamics and to predict that the Turning Period of COVID-19 outbreak in Wuhan would arrive within one week after February 14. This prediction turned out to be timely and accurate, which has provided adequate time for the government, hospitals and related sectors and services to meet peak demand and to prepare aftermath planning. We want to emphasize that emergency risk management entails the implementation of an emergency plan, where timing the Turning Period is key to express a clear timeline for effective actions. Our study confirms the observed effectiveness of Wuhan’s Lockdown and Isolation control program imposed since January 23, 2020 to the middle of March, 2020 and resulted in swiftly flattened epidemic curve, and Wuhan’s success offers an exemplary lesson for the world to learn in combating COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-8197400 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81974002021-06-15 The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period Yuan, George X. Di, Lan Yang, Zheng Qian, Guoqi Qian, Xiaosong Zeng, Tu Procedia Comput Sci Article This study aims to develop a general framework for predicting the duration of the Turning Period (or Turning Phase) for the COVID-19 outbreak in China that started in late December 2019 from Wuhan. A new concept called the Term Structure for Turning Period (instead of Turning Point) is used for this study, and the framework, implemented into an individual SEIR (iSEIR) model, has enabled a timely prediction of the turning period when applied to Wuhan’s COVID-19 epidemic, and provided the opportunity for relevant authorities to take appropriate and timely actions to successfully control the epidemic. By using the observed daily COVID-19 cases in Wuhan from January 23, 2020 to February 6 (and February 10), 2020 as inputs to the framework it allowed us to generate the trajectory of COVID-19 dynamics and to predict that the Turning Period of COVID-19 outbreak in Wuhan would arrive within one week after February 14. This prediction turned out to be timely and accurate, which has provided adequate time for the government, hospitals and related sectors and services to meet peak demand and to prepare aftermath planning. We want to emphasize that emergency risk management entails the implementation of an emergency plan, where timing the Turning Period is key to express a clear timeline for effective actions. Our study confirms the observed effectiveness of Wuhan’s Lockdown and Isolation control program imposed since January 23, 2020 to the middle of March, 2020 and resulted in swiftly flattened epidemic curve, and Wuhan’s success offers an exemplary lesson for the world to learn in combating COVID-19 pandemic. The Author(s). Published by Elsevier B.V. 2021 2021-06-12 /pmc/articles/PMC8197400/ /pubmed/34149967 http://dx.doi.org/10.1016/j.procs.2021.04.064 Text en © 2021 The Author(s). Published by Elsevier B.V. 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 Yuan, George X. Di, Lan Yang, Zheng Qian, Guoqi Qian, Xiaosong Zeng, Tu The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title | The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title_full | The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title_fullStr | The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title_full_unstemmed | The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title_short | The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period |
title_sort | prediction for covid-19 outbreak in china by using the concept of term structure for the turning period |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197400/ https://www.ncbi.nlm.nih.gov/pubmed/34149967 http://dx.doi.org/10.1016/j.procs.2021.04.064 |
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