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多源数据和调整措施下韩国 COVID-19 疫情的分相估计:建模研究。

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

机构信息

School of Mathematics and Informational Technology, Yuncheng University, Yuncheng 044000, China.

Shanxi Applied Mathematics Center, Taiyuan 030006, China.

出版信息

Math Biosci Eng. 2020 May 18;17(4):3637-3648. doi: 10.3934/mbe.2020205.

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 (CI). At the early phase from February 16 to February 24, we estimate the basic reproduction number of COVID-19 to be 4.79(95% CI 4.38 - 5.2). The estimated control reproduction number dropped rapidly to ≈ 0.32(95% CI 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 to be 0.27 (95% CI 0.14 - 0.42). We predict that the final size of the COVID-19 outbreak in South Korea is 9661 (95% CI 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.

摘要

基于 2020 年 2 月 16 日至 3 月 9 日在韩国报告的确诊病例、死亡病例和治愈病例数据,采用马尔可夫链蒙特卡罗方法估计了不同控制措施阶段的控制繁殖数,并使用后验均值和 95%可信区间(CI)表示。在从 2 月 16 日至 2 月 24 日的早期阶段,我们估计 COVID-19 的基本繁殖数为 4.79(95% CI 4.38-5.2)。由于自愿封锁措施,从 2 月 25 日至 3 月 2 日的第二阶段,估计的控制繁殖数迅速下降到约 0.32(95% CI 0.19-0.47)。从 3 月 3 日至 3 月 9 日的第三阶段,我们估计为 0.27(95% CI 0.14-0.42)。我们预测韩国 COVID-19 疫情的最终规模为 9661(95% CI 8660-11100),整个疫情将在 4 月下旬结束。研究发现,降低接触率和提高检测速度会对峰值和峰值时间产生影响。

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