Cao Shengli, Feng Peihua, Shi Pengpeng
School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China.
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2020 May 25;49(2):178-184. doi: 10.3785/j.issn.1008-9292.2020.02.05.
To establish a SEIR epidemic dynamics model that can be used to evaluate the COVID-19 epidemic, and to predict and evaluate the COVID-19 epidemic in Hubei province using the proposed model.
COVID-19 SEIR transmission dynamics model was established, which took transmission ability in latent period and tracking quarantine interventions into consideration. Based on the epidemic data of Hubei province from January 23, 2020 to February 24, 2020, the parameters of the newly established modified SEIR model were fitted. By using Euler integral algorithm to solve the modified SEIR dynamics model, the epidemic situation in Hubei province was analyzed, and the impact of prevention and control measures such as quarantine and centralized treatment on the epidemic development was discussed.
The theoretical estimation of the epidemic situation by the modified SEIR epidemic dynamics model is in good agreement with the actual situation in Hubei province. Theoretical analysis showed that prevention and control quarantine and medical follow-up quarantine played an important inhibitory effect on the outbreak of the epidemic.The centralized treatment played a key role in the rapid decline in the number of infected people. In addition, it is suggested that individuals should improve their prevention awareness and take strict self-protection measures to curb the increase in infected people.
The modified SEIR model is reliable in the evaluation of COVID-19 epidemic in Hubei province, which provides a theoretical reference for the decision-making of epidemic interventions.
建立一个可用于评估新型冠状病毒肺炎(COVID-19)疫情的SEIR疫情动力学模型,并利用该模型对湖北省的COVID-19疫情进行预测和评估。
建立了考虑潜伏期传播能力和追踪检疫干预措施的COVID-19 SEIR传播动力学模型。基于湖北省2020年1月23日至2020年2月24日的疫情数据,对新建立的改进型SEIR模型的参数进行拟合。利用欧拉积分算法求解改进型SEIR动力学模型,分析湖北省的疫情形势,探讨检疫和集中治疗等防控措施对疫情发展的影响。
改进型SEIR疫情动力学模型对疫情形势的理论估计与湖北省实际情况吻合良好。理论分析表明,防控检疫和医学追踪检疫对疫情暴发起到了重要的抑制作用。集中治疗对感染人数的快速下降起到了关键作用。此外,建议个人应提高预防意识,采取严格的自我保护措施,以遏制感染人数的增加。
改进型SEIR模型在评估湖北省COVID-19疫情方面是可靠的,为疫情干预决策提供了理论参考。