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The Prediction for COVID-19 Outbreak in China by using the Concept of Term Structure for the Turning Period
Author(s) -
George Xianzhi Yuan,
Di Lan,
Zheng Yang,
Guoqi Qian,
Xiaosong Qian,
Tu Zeng
Publication year - 2021
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2021.04.064
Subject(s) - timeline , covid-19 , turning point , computer science , outbreak , operations research , isolation (microbiology) , china , control (management) , term (time) , period (music) , government (linguistics) , duration (music) , geography , artificial intelligence , statistics , medicine , engineering , mathematics , art , philosophy , linguistics , literature , archaeology , pathology , virology , acoustics , biology , quantum mechanics , physics , disease , infectious disease (medical specialty) , microbiology and biotechnology
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.

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