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中国新冠疫情爆发的流行动力学建模与防控

Modeling the epidemic dynamics and control of COVID-19 outbreak in China.

作者信息

Zhao Shilei, Chen Hua

机构信息

CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101 China.

China National Center for Bioinformation, Beijing, 100101 China.

出版信息

Quant Biol. 2020;8(1):11-19. doi: 10.1007/s40484-020-0199-0. Epub 2020 Mar 11.

Abstract

BACKGROUND

The coronavirus disease 2019 (COVID-19) is rapidly spreading in China and more than 30 countries over last two months. COVID-19 has multiple characteristics distinct from other infectious diseases, including high infectivity during incubation, time delay between real dynamics and daily observed number of confirmed cases, and the intervention effects of implemented quarantine and control measures.

METHODS

We develop a Susceptible, Un-quanrantined infected, Quarantined infected, Confirmed infected (SUQC) model to characterize the dynamics of COVID-19 and explicitly parameterize the intervention effects of control measures, which is more suitable for analysis than other existing epidemic models.

RESULTS

The SUQC model is applied to the daily released data of the confirmed infections to analyze the outbreak of COVID-19 in Wuhan, Hubei (excluding Wuhan), China (excluding Hubei) and four first-tier cities of China. We found that, before January 30, 2020, all these regions except Beijing had a reproductive number > 1, and after January 30, all regions had a reproductive number < 1, indicating that the quarantine and control measures are effective in preventing the spread of COVID-19. The confirmation rate of Wuhan estimated by our model is 0.0643, substantially lower than that of Hubei excluding Wuhan (0.1914), and that of China excluding Hubei (0.2189), but it jumps to 0.3229 after February 12 when clinical evidence was adopted in new diagnosis guidelines. The number of unquarantined infected cases in Wuhan on February 12, 2020 is estimated to be 3,509 and declines to 334 on February 21, 2020. After fitting the model with data as of February 21, 2020, we predict that the end time of COVID-19 in Wuhan and Hubei is around late March, around mid March for China excluding Hubei, and before early March 2020 for the four tier-one cities. A total of 80,511 individuals are estimated to be infected in China, among which 49,510 are from Wuhan, 17,679 from Hubei (excluding Wuhan), and the rest 13,322 from other regions of China (excluding Hubei). Note that the estimates are from a deterministic ODE model and should be interpreted with some uncertainty.

CONCLUSIONS

We suggest that rigorous quarantine and control measures should be kept before early March in Beijing, Shanghai, Guangzhou and Shenzhen, and before late March in Hubei. The model can also be useful to predict the trend of epidemic and provide quantitative guide for other countries at high risk of outbreak, such as South Korea, Japan, Italy and Iran.

SUPPLEMENTARY MATERIALS

The supplementary materials can be found online with this article at 10.1007/s40484-020-0199-0.

摘要

背景

新型冠状病毒肺炎(COVID-19)在过去两个月里在中国及30多个国家迅速传播。COVID-19具有多个与其他传染病不同的特征,包括潜伏期传染性高、实际传播动态与每日报告确诊病例数之间存在时间延迟,以及实施的隔离和防控措施的干预效果。

方法

我们构建了一个易感、未隔离感染、隔离感染、确诊感染(SUQC)模型来描述COVID-19的传播动态,并明确对防控措施的干预效果进行参数化,该模型比其他现有流行模型更适合进行分析。

结果

将SUQC模型应用于每日公布的确诊感染数据,以分析COVID-19在武汉、湖北(不包括武汉)、中国(不包括湖北)以及中国四个一线城市的疫情爆发情况。我们发现,在2020年1月30日之前,除北京外所有这些地区的再生数均大于1,而在1月30日之后,所有地区的再生数均小于1,这表明隔离和防控措施在预防COVID-19传播方面是有效的。我们的模型估计武汉的确诊率为0.0643,远低于湖北其他地区(0.1914)和中国其他地区(0.2189),但在2月12日新诊断指南采用临床证据后,该确诊率跃升至0.3229。估计2020年2月12日武汉未隔离感染病例数为3509例,到2020年2月21日降至334例。用截至2020年2月21日的数据拟合模型后,我们预测武汉和湖北COVID-19的结束时间约在3月下旬,中国其他地区(不包括湖北)约在3月中旬,四个一线城市在2020年3月初之前。估计中国共有80511人感染,其中49510人来自武汉,17679人来自湖北其他地区(不包括武汉),其余13322人来自中国其他地区(不包括湖北)。请注意,这些估计来自确定性常微分方程模型,应带着一定的不确定性来解读。

结论

我们建议在北京、上海、广州和深圳3月初之前以及湖北3月下旬之前应继续保持严格的隔离和防控措施。该模型也有助于预测疫情趋势,并为其他高风险爆发国家,如韩国、日本、意大利和伊朗提供定量指导。

补充材料

补充材料可在本文在线获取,链接为10.1007/s40484-020-0199-0。

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