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中国管理科学 ›› 2022, Vol. 30 ›› Issue (7): 1-8.doi: 10.16381/j.cnki.issn1003-207x.2021.0945

• 论文 •    下一篇

基于鲁棒优化的突发公共卫生事件精准筛查策略研究

蔡健平1, 王晶1, 焦子豪2   

  1. 1.北京工商大学电商与物流学院,北京100048; 2.北京工商大学国际经管学院,北京100048
  • 收稿日期:2021-05-13 修回日期:2021-10-06 出版日期:2022-08-05 发布日期:2022-08-05
  • 通讯作者: 王晶(1982-),男(回族),河北邯郸人,北京工商大学电商与物流学院,教授,博士生导师,研究方向:应急物流、公共管理与公共政策,Email:wangjingjob2010@126.com. E-mail:wangjingjob2010@126.com
  • 基金资助:
    国家社会科学基金资助项目(21BGL224);国家自然科学基金资助项目(72101008);首都流通业研究基地开放课题资助项目(JD-KFKT-2021-003);2021年研究生科研能力提升计划资助项目

Precise Screening Strategy of Public Health Emergency Based on Robust Optimization

CAI Jian-ping1, WANG Jing1, JIAO Zi-hao2   

  1. 1. School of E-commerce and Logistics, Beijing Technology and Business University, Beijing 100048, China;2. School of International Economics and Management, Beijing Technology and Business University, Beijing 100048, China
  • Received:2021-05-13 Revised:2021-10-06 Online:2022-08-05 Published:2022-08-05
  • Contact: 王晶 E-mail:wangjingjob2010@126.com

摘要: “精准筛查”是落实突发公共卫生事件精准防控工作的基础保障和重要手段,但是如何科学合理地制定突发公共卫生事件精准筛查策略尚未开展深入研究。本文根据传染病传播机理,将待检测群体进行分类,引入“检测效用”刻画各类人群在不同时间检测对突发公共卫生事件传播扩散的抑制程度,建立以检测效用最大化为目标的鲁棒优化模型,并将其转化为易求解的鲁棒等价模型,确定最优的筛查方案。最后通过算例仿真验证模型及其转化方法的可行性和有效性,为突发公共卫生事件的精准筛查策略提供了理论指导和决策支持。

关键词: 突发公共卫生事件;精准筛查策略;检测效用;鲁棒优化

Abstract: Faced with the severity of public health emergencies, particularly the Corona Virus Disease 2019 (COVID-19), “precise screening” is the important means to implement the precise prevention and control of public health emergencies. However, how to scientifically and reasonably develop precise screening strategies for public health emergencies in order to not only quickly cut off the transmission route of the epidemic but also avoid the negative impact of excessive epidemic screening on the social economy? By classifying the population and introducing the “testing utility”, the precise screening strategy is studied, which will help prevent and control the public health emergencies in the future.

Key words: public health emergency; precise screening strategy; testing utility; robust optimization

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