Suppr超能文献

建立模型并评估医疗资源对中国武汉新型冠状病毒(COVID-19)传播的影响。

Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China.

机构信息

Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.

出版信息

Math Biosci Eng. 2020 Mar 30;17(4):2936-2949. doi: 10.3934/mbe.2020165.

Abstract

The coronavirus disease 2019 (COVID-2019), a newly emerging disease in China, posed a public health emergency of China. Wuhan is the most serious affected city. Some measures have been taken to control the transmission of COVID-19. From Jan. 23rd, 2020, gradually increasing medical resources (such as health workforce, protective clothing, essential medicines) were sent to Wuhan from other provinces, and the government has established the hospitals to quarantine and treat infected individuals. Under the condition of sufficient medical resources in Wuhan, late-stage of epidemic showed a downward trend. Assessing the effectiveness of medical resources is of great significance for the future response to similar disease. Based on the transmission mechanisms of COVID-19 and epidemic characteristics of Wuhan, by using time-dependent rates for some parameters, we establish a dynamical model to reflect the changes of medical resources on transmission of COVID-19 in Wuhan. Our model is applied to simulate the reported data on cumulative and new confirmed cases in Wuhan from Jan. 23rd to Mar. 6th, 2020. We estimate the basic reproduction number = 2.71, which determines whether the disease will eventually die out or not under the absence of effective control measures. Moreover, we calculate the effective daily reproduction ratio (), which is used to measure the 'daily reproduction number'. We obtain that () drops less than 1 since Feb. 8th. Our results show that delayed opening the 'Fire God Hill' hospital will greatly increase the magnitude of the outbreak. This shows that the government's timely establishment of hospitals and effective quarantine via quick detection prevent a larger outbreak.

摘要

新型冠状病毒肺炎(COVID-19)是中国新发的传染病,构成了中国的公共卫生紧急事件。武汉是受影响最严重的城市。已经采取了一些措施来控制 COVID-19 的传播。自 2020 年 1 月 23 日起,其他省份逐渐向武汉输送更多的医疗资源(如卫生人力、防护服、基本药物),政府还建立了医院来隔离和治疗感染人群。在武汉有足够医疗资源的情况下,疫情后期呈下降趋势。评估医疗资源的有效性对于未来应对类似疾病具有重要意义。基于 COVID-19 的传播机制和武汉的疫情特点,通过使用一些参数的时变率,我们建立了一个动力学模型来反映 COVID-19 在武汉的传播过程中医疗资源的变化。我们的模型应用于模拟 2020 年 1 月 23 日至 3 月 6 日武汉报告的累计和新增确诊病例数据。我们估计基本繁殖数 = 2.71,这决定了在没有有效控制措施的情况下,疾病是否会最终消失。此外,我们计算了有效日繁殖率(),用于衡量“日繁殖数”。我们发现自 2 月 8 日以来,()下降幅度小于 1。我们的结果表明,延迟开放“火神山”医院将大大增加疫情的规模。这表明政府及时建立医院和通过快速检测进行有效隔离,防止了更大规模的爆发。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验