Phase-adjusted estimation of the COVID-19 outbreak in South Korea under multi-source data and adjustment measures: a modelling study

Xiaomei Feng; Jing Chen; Kai Wang; Lei Wang; Fengqin Zhang; Zhen Jin; Lan Zou; Xia Wang; Xiaomei Feng; Jing Chen; Kai Wang; Lei Wang; Fengqin Zhang; Zhen Jin; Lan Zou; Xia Wang

doi:10.3934/mbe.2020205

Mathematical Biosciences and Engineering

2020, Volume 17, Issue 4: 3637-3648. doi: 10.3934/mbe.2020205

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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

1.
School of Mathematics and Informational Technology, Yuncheng University, Yuncheng 044000, China
2.
Shanxi Applied Mathematics Center, Taiyuan 030006, China
3.
Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, FL 33314, USA
4.
Department of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, China
5.
Complex System Research Center, Shanxi University, Taiyuan 030006, China
6.
Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Taiyuan 030006, China
7.
School of Mathematics, Sichuan University, Chengdu 610064, China
8.
School of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710119, China

Received: 30 March 2020 Accepted: 06 May 2020 Published: 18 May 2020

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 (C_rI). 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% C_rI 4.38 - 5.2). The estimated control reproduction number dropped rapidly to R_c ≈ 0.32(95% C_rI 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 R_c to be 0.27 (95% C_rI 0.14 - 0.42). We predict that the final size of the COVID-19 outbreak in South Korea is 9661 (95% C_rI 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.
- COVID-19,
- mathematical modelling,
- the reproduction number,
- the final size
Citation: Xiaomei Feng, Jing Chen, Kai Wang, Lei Wang, Fengqin Zhang, Zhen Jin, Lan Zou, Xia Wang. Phase-adjusted estimation of the COVID-19 outbreak in South Korea under multi-source data and adjustment measures: a modelling study[J]. Mathematical Biosciences and Engineering, 2020, 17(4): 3637-3648. doi: 10.3934/mbe.2020205

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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 (C_rI). 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% C_rI 4.38 - 5.2). The estimated control reproduction number dropped rapidly to R_c ≈ 0.32(95% C_rI 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 R_c to be 0.27 (95% C_rI 0.14 - 0.42). We predict that the final size of the COVID-19 outbreak in South Korea is 9661 (95% C_rI 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.

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