首页|基于真实世界数据的修正SEIR模型应用于疫情防控研究

基于真实世界数据的修正SEIR模型应用于疫情防控研究

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

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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.
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.

COVID-19OmicronModified SEIR modelForecastingPoliciesHealth resources allocation

杨利超、曾华堂、胡梦之、伍丽群、田倩男、韦亮州、朱纪明、梁万年

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100084 北京市,清华大学万科公共卫生与健康学院

518028 深圳市,深圳市卫生健康发展研究和数据管理中心

100084 北京市,清华大学健康中国研究院

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

国家自然科学基金资助项目深圳市"医疗卫生三名工程"项目清华大学卫健学院博士后科研专项比尔及梅琳达·盖茨基金会项目

72091514202120011322022BH013INV-018302

2024

中国全科医学
中国医院协会

中国全科医学

CSTPCD北大核心
影响因子:2.04
ISSN:1007-9572
年,卷(期):2024.27(1)
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