中国全科医学 ›› 2024, Vol. 27 ›› Issue (01): 118-124.DOI: 10.12114/j.issn.1007-9572.2023.0292

• 论著·数智医疗与信息化研究 • 上一篇    

基于真实世界数据的修正SEIR模型应用于疫情防控研究

杨利超1, 曾华堂2, 胡梦之1, 伍丽群2, 田倩男2, 韦亮州2, 朱纪明1,3,*(), 梁万年1,3,*()   

  1. 1100084 北京市,清华大学万科公共卫生与健康学院
    2518028 深圳市,深圳市卫生健康发展研究和数据管理中心
    3100084 北京市,清华大学健康中国研究院
  • 收稿日期:2023-06-19 修回日期:2023-08-16 出版日期:2024-01-05 发布日期:2023-10-23
  • 通讯作者: 朱纪明, 梁万年

  • 作者贡献:杨利超负责选题、构建模型、计算机代码实现算法、原稿写作;杨利超、胡梦之负责构建模型、清洗保留研究数据、修改原稿;田倩男、韦亮州负责调查开展、数据收集;曾华堂、伍丽群负责提供研究数据和验证研究结果;朱纪明、梁万年对选题进行指导,对文章涉及观点及立论依据进行审阅和修订,对文章整体负责;所有作者确认了论文的最终稿。
  • 基金资助:
    国家自然科学基金资助项目(72091514); 深圳市"医疗卫生三名工程"项目资助(20212001132); 清华大学卫健学院博士后科研专项(2022BH013); 比尔及梅琳达·盖茨基金会项目资助(INV-018302)

Application of Modified SEIR Model in Epidemic Prevention and Control: a Real World Study

YANG Lichao1, ZENG Huatang2, HU Mengzhi1, WU Liqun2, TIAN Qiannan2, WEI Liangzhou2, ZHU Jiming1,3,*(), LIANG Wannian1,3,*()   

  1. 1Vanke School of Public Health, Tsinghua University, Beijing 100084, China
    2Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China
    3Institute for Healthy China, Tsinghua University, Beijing 100084, China
  • Received:2023-06-19 Revised:2023-08-16 Published:2024-01-05 Online:2023-10-23
  • Contact: ZHU Jiming, LIANG Wannian

摘要: 背景 奥密克戎在世界各地广泛传播,深圳作为连接国内外交通的重要枢纽,自2022年2月以来持续受其影响,感染者数量迅速增加。 目的 构建修正的易感-暴露-感染-康复(SEIR)模型,为深圳市疫情防控工作提供具有应用价值的政策参考和建议,以缓解防控压力。 方法 在传统SEIR传染病动力学模型基础上,针对奥密克戎传播速度快、隐匿性高、人群普遍易感等流行病学特征,引入具有政策性特征的组别,即密接者、次密接者、入深隔离者和携带者组别,构建修正SEIR模型,拟合2022-02-18—28的深圳疫情数据确定修正模型的相关参数。 结果 该模型的预测数据与2022-03-01—04的实际数据基本一致,为预测疫情后续发展提供了可靠依据;进一步预测了2022-03-05—19的疫情发展趋势,从疫情防控的人工干预程度、介入时间及床位数、隔离房间数等医疗卫生资源需求等方面为深圳后续的疫情防控措施提供了指导。 结论 修正SEIR模型在疫情发展预测、防控措施制定和调整及医疗资源配置等方面具有重要实用价值。

关键词: 新型冠状病毒感染, 奥密克戎, 修正SEIR模型, 预测, 政策建议, 医疗资源配置

Abstract:

Background

The Severe Acute Respiratory Syndrome Coronavirus 2 Omicron variant (SARS-CoV-2, Omicron) has been widely spread around the world. Since February 2022, Shenzhen was continuously affected by it as a major hub connecting domestic and international transportation, resulting in rapidly increasing number of infected cases.

Objective

To construct a modified susceptible-exposed-infected-recovered (SEIR) model for providing policy references and suggestions with applied value for epidemic prevention and control in Shenzhen, China, so as to alleviate the pressure of prevention and control.

Methods

This study developed a modified SEIR model targeting the epidemiological characteristics of the Omicron variant such as rapid transmission, high concealment, and general susceptibility of the population, introducing groups with policy characteristics as close contacts, secondary contacts, quarantined individuals and carriers, based on traditional SEIR model of infectious disease dynamics. The relevant parameters of the modified model were determined by fitting the Shenzhen epidemic data of February 18 to 28, 2022.

Results

The predicted data of the model were basically consistent with the actual data from March 01 to 04, 2022, providing a reliable basis for predicting the subsequent development of the epidemic. Subsequently, the Omicron variant outbreak in Shenzhen between 5 to 19 March 2022 was forecasted through this modified model to provide guidance for epidemic prevention and control measures in terms of the degree and time of manual intervention in epidemic prevention and control, and healthcare resource requirements such as patient beds and isolation rooms.

Conclusion

The modified SEIR model developed in this study has proved its practical value in forecasting epidemic development, formulating and adjusting epidemic control measures, and allocating health resources.

Key words: COVID-19, Omicron, Modified SEIR model, Forecasting, Policies, Health resources allocation