School of Information and Mathematics, Yangtze University, Jingzhou 434023, China.
School of Foreign Studies, Yangtze University, Jingzhou 434023, China.
Biomed Res Int. 2022 May 6;2022:8920117. doi: 10.1155/2022/8920117. eCollection 2022.
The coronavirus disease (COVID-19) which emerged in Wuhan, China, in December 2019, is widely controlled now in China. However, the global epidemic is still severe. To study and comment on Hubei's approaches for responding to the disease, the paper considered some factors such as suspected cases (part of them are influenza patients or common pneumonia patients, etc.), quarantine, patient classification (three types), clinically diagnosed cases, and lockdown of Wuhan and Hubei. After that, the paper established an model based on the surveillance data of Hubei published by the Hubei Health Commission from 10 January 2020 to 30 April 2020 and used the fminsearch optimization method to estimate the optimal parameters of the model. We obtained the basic reproduction number = 3.1571 from 10 to 22 January. was calculated as 2.0471 from 23 to 27 January. From 28 January to 30 April, = 1.5014. Through analysis, it is not hard to find that the patients without classification during the period of confirmed cases will result in the cumulative number of cases in Hubei to increase. In addition, regarding the lockdown measures implemented by Hubei during the epidemic, our simulations also show that if the lockdown time of either Hubei or Wuhan is advanced, it will effectively curb the spread of the epidemic. If the lockdown measures are not taken, the total cumulative number of cases will increase substantially. From the results of the study, it can be concluded that the lockdown, patient classification, and the large-scale case screening are essential to slow the spread of COVID-19, which can provide references for other countries or regions.
2019 年 12 月在中国武汉出现的冠状病毒病(COVID-19),目前在中国已得到广泛控制。然而,全球疫情仍然严峻。为研究和评价湖北省应对疫情的措施,本文考虑了疑似病例(其中部分为流感患者或普通肺炎患者等)、隔离、患者分类(三型)、临床诊断病例以及武汉和湖北封城等因素。之后,本文基于湖北省卫生健康委员会自 2020 年 1 月 10 日至 4 月 30 日公布的湖北监测数据,建立了一个模型,并采用 fminsearch 优化方法估计模型的最优参数。我们于 1 月 10 日至 22 日得出基本繁殖数 = 3.1571。于 1 月 23 日至 27 日计算得出 = 2.0471。1 月 28 日至 4 月 30 日, = 1.5014。通过分析不难发现,确诊病例中未分类的患者会导致湖北累计病例数增加。此外,针对湖北省在疫情期间实施的封城措施,我们的模拟结果也表明,如果湖北或武汉的封城时间提前,将有效遏制疫情的传播。如果不采取封城措施,总累计病例数将大幅增加。从研究结果可以得出,封城、患者分类和大规模病例筛查对于减缓 COVID-19 的传播至关重要,可为其他国家或地区提供参考。