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Phase-Adjusted Estimation of the COVID-19 Outbreak in South Korea Under Multi-Source Data and Adjustment Measures: A Modelling Study
Mathematical Biosciences and Engineering
  • Xiaomei Feng, Yuncheng University - China; Shanxi Applied Mathematics Center - China
  • Jing Chen, Nova Southeastern University
  • Kai Wang, Xinjiang Medical University - China
  • Lei Wang, Xinjiang Medical University - China
  • Fengqin Zhang, Yuncheng University - China
  • Zhen Jin, Shanxi University - China; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on DIsease Control and Prevention - China
  • Lan Zou, Sichuan University - China
  • Xia Wang, Shaanxi Normal University - China
Document Type
Article
Publication Date
5-18-2020
Keywords
  • COVID-19,
  • Mathematical modeling,
  • The reproduction number,
  • The final size
Disciplines
Abstract

Based on the reported data from February 16, 2020 to March 9, 2020 in South Korea including confirmed cases, death cases and recovery cases, the control reproduction number was estimated respectively at different control measure phases using Markov chain Monte Carlo method and presented using the resulting posterior mean and 95% credible interval (CrI). At the early phase from February 16 to February 24, we estimate the basic reproduction number R0 of COVID-19 to be 4.79(95% CrI 4.38 - 5.2). The estimated control reproduction number dropped rapidly to Rc ≈ 0.32(95% CrI 0.19 - 0.47) at the second phase from February 25 to March 2 because of the voluntary lockdown measures. At the third phase from March 3 to March 9, we estimate Rc to be 0.27 (95% CrI 0.14 - 0.42). We predict that the final size of the COVID-19 outbreak in South Korea is 9661 (95% CrI 8660 - 11100) and the whole epidemic will be over by late April. It is found that reducing contact rate and enhancing the testing speed will have the impact on the peak value and the peak time.

Comments

©2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)

Additional Comments
China Postdoctoral Science Foundation grant #: 2019M653529; National Science Foundation of China grant #s: 11501498, 11571273, 11831012, 11771168; Natural Science Foundation of Shanxi Province grant #s: 201801D221035, 201901D111295; Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi grant #: 2019L0861; NSF grant #: 1853562; Fundamental Research Funds for the Central Universities grant #: GK202003005
Creative Commons License
Creative Commons Attribution 4.0 International
DOI
10.3934/mbe.2020205
Citation Information
Xiaomei Feng, Jing Chen, Kai Wang, Lei Wang, et al.. "Phase-Adjusted Estimation of the COVID-19 Outbreak in South Korea Under Multi-Source Data and Adjustment Measures: A Modelling Study" Mathematical Biosciences and Engineering Vol. 17 Iss. 4 (2020) p. 3637 - 3648 ISSN: 1551-0018
Available at: http://works.bepress.com/jing-chen/21/