School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an 710049, China.
School of Mathematics and Information Science, Shaanxi Normal University, Xi'an 710119, China.
Math Biosci Eng. 2020 Jul 27;17(5):5085-5098. doi: 10.3934/mbe.2020274.
The COVID-19 outbreak, designated a "pandemic" by the World Health Organization (WHO) on 11 March 2020, has spread worldwide rapidly. Each country implemented prevention and control strategies, mainly classified as SARS LCS (SARS-like containment strategy) or PAIN LMS (pandemic influenza-like mitigation strategy). The reasons for variation in each strategy's efficacy in controlling COVID-19 epidemics were unclear and are investigated in this paper. On the basis of the daily number of confirmed local (imported) cases and onset-to-confirmation distributions for local cases, we initially estimated the daily number of local (imported) illness onsets by a deconvolution method for mainland China, South Korea, Japan and Spain, and then estimated the effective reproduction numbers by using a Bayesian method for each of the four countries. China and South Korea adopted a strict SARS LCS, to completely block the spread via lockdown, strict travel restrictions and by detection and isolation of patients, which led to persistent declines in effective reproduction numbers. In contrast, Japan and Spain adopted a typical PAIN LMS to mitigate the spread via maintaining social distance, self-quarantine and isolation etc., which reduced the values but with oscillations around 1. The finding suggests that governments may need to consider multiple factors such as quantities of medical resources, the likely extent of the public's compliance to different intensities of intervention measures, and the economic situation to design the most appropriate policies to fight COVID-19 epidemics.
2020 年 3 月 11 日,世界卫生组织(WHO)将 COVID-19 疫情宣布为“大流行”,该疫情迅速在全球范围内蔓延。每个国家都实施了预防和控制策略,主要分为 SARS LCS(类似 SARS 的遏制策略)或 PAIN LMS(大流行性流感缓解策略)。这些策略在控制 COVID-19 疫情方面的效果不同的原因尚不清楚,本文对此进行了调查。基于中国大陆、韩国、日本和西班牙的本地(输入)确诊病例的日数和本地病例的发病至确诊分布,我们初步使用解卷积方法估计了中国大陆、韩国、日本和西班牙的本地(输入)疾病发病的日数,然后使用贝叶斯方法估计了这四个国家的每个国家的有效繁殖数。中国和韩国采取了严格的 SARS LCS,通过封锁、严格的旅行限制以及对患者的检测和隔离来完全阻断传播,这导致有效繁殖数持续下降。相比之下,日本和西班牙采取了典型的 PAIN LMS 来缓解传播,通过保持社交距离、自我隔离等措施来减轻传播,这降低了 值,但在 1 左右波动。研究结果表明,政府可能需要考虑多种因素,如医疗资源的数量、公众对不同强度干预措施的遵守程度以及经济状况,以制定最适合抗击 COVID-19 疫情的政策。