基于FTA方法的COVID-19疫情应急防控决策研究

doi:10.12005/orms.2022.0361

运筹与管理 ›› 2022, Vol. 31 ›› Issue (11): 113-120.DOI: 10.12005/orms.2022.0361

基于FTA方法的COVID-19疫情应急防控决策研究

李永勇, 张永进, 余珊珊

安徽工业大学数理科学与工程学院,安徽马鞍山 243002

收稿日期:2020-09-29 出版日期:2022-11-25 发布日期:2022-12-14
作者简介:李永勇(1993-),男,江苏苏州人,硕士研究生,研究方向:系统安全与风险决策;张永进(1976-),男,安徽太湖人,博士,副教授,硕士生导师,研究方向:质量与可靠性管理、系统优化与决策;余珊珊(1996-),女,安徽蚌埠人,硕士研究生,研究方向:风险决策及优化。
基金资助:
国家自然科学基金资助项目(72074001);教育部人文社会科学研究规划基金项目(17YJA630135);安徽省自然科学基金资助项目(1808085MG220)

Emergency Prevention and Control Decision of COVID-19 Based on FTA

LI Yong-yong, ZHANG Yong-jin, YU Shan-shan

School of Mathematics & Physics, Anhui University of Technology, Maanshan 243032, China

Received:2020-09-29 Online:2022-11-25 Published:2022-12-14

摘要/Abstract

摘要： 鉴于新型冠状病毒肺炎(COVID-19)的易感染性与聚集性等特点,基于COVID-19的传播机制,应用故障树分析(FTA)方法,研究了具有不同特征的疫情突发事件风险决策问题,包括疫情突发事件的动态演化过程、多种情景以及应急方案对突发事件的影响。通过分析COVID-19疫情突发事件的演化过程,构建故障树来描述导致突发事件演变的条件与因素之间的逻辑关系,给出了不同的可行应急方案。利用FTA预估出疫情突发事件发生的概率,计算出可行应急方案的整体排序值,获得最优应急方案。最后通过一个COVID-19确诊患者的案例分析,验证了所提出的方法的可行性和有效性。

关键词: COVID-19, 故障树分析(FTA), 突发事件, 情景概率, 疫情防控

Abstract: In view of the susceptibility and clustering of COVID-19, this article analyzes the transmission mechanism of COVID-19, as well as tracing and quarantining close contacts of infected persons and other epidemic prevention emergency plans. Based on the fault tree analysis (FTA) method, the risk decision-making problems of epidemic emergencies with different characteristics are studied, including the dynamic evolution process of epidemic emergencies, multiple scenarios and the impact of emergency plans on emergencies. By analyzing the evolution process of the COVID-19 outbreak, a fault tree is constructed to describe the logical relationship between the conditions and factors that lead to the evolution of the emergency, and different feasible emergency solutions are given. The FTA is used to estimate the probability of an epidemic emergency, the overall ranking value of all emergency plans is calculated, and the best feasible emergency plan is given. Finally, a case analysis of a confirmed COVID-19 patient verifies the feasibility and effectiveness of the proposed method.

Key words: COVID-19, fault tree analysis (FTA), emergency, scenario probability, epidemic prevention and control

中图分类号:

C934
R184

李永勇, 张永进, 余珊珊. 基于FTA方法的COVID-19疫情应急防控决策研究[J]. 运筹与管理, 2022, 31(11): 113-120.

LI Yong-yong, ZHANG Yong-jin, YU Shan-shan. Emergency Prevention and Control Decision of COVID-19 Based on FTA[J]. Operations Research and Management Science, 2022, 31(11): 113-120.

参考文献

[1] 李倩,肖燕妮,吴建宏,等.COVID-19疫情时滞模型构建与确诊病例驱动的追踪隔离措施分析[J].应用数学学报,2020,43(02):238-250.
[2] 范如国,王奕博,罗明,等.基于SEIR的新冠肺炎传播模型及拐点预测分析[J].电子科技大学学报,2020,49(03):369-374.
[3] 周涛,刘权辉,杨紫陌,等.新型冠状病毒肺炎基本再生数的初步预测[J].中国循证医学杂志,2020,20(03):359-364.
[4] 白宁,宋晨玮,徐瑞.基于动力学模型的COVID-19疫情预测与控制策略研究[J].应用数学学报,2020,43(03):483-493.
[5] 李冀鹏,洪峰,白薇,等.评估新型冠状病毒地区防控效果的一种近似方法[J].物理学报,2020,69(10):99-106.
[6] Ruan L, Wen M, Zeng Q, et al. New measures for COVID-19 response: a lesson from the wenzhou experience[J]. Clinical Infectious Diseases, 2020 Apr 3; ciaa386. doi: 10.1093/cid/ciaa386.
[7] Rajan D, Koch K, Rohrer K, et al. Governance of the Covid-19 response: a call for more inclusive and transparent decision-making[J]. British Medical Journal Global Health, 2020, 5(5): 2655.
[8] Gao X, Yu J. Public governance mech-anism in the prevention and control of the COVID-19: information, decision-making and execution[J]. Journal of Chinese Governance, 2020, 178-197.
[9] Matthew Sperrin, Stuart W Grant, Niels Peek. Prediction models for diagnosis and prognosis in Covid-19[J]. BMJ, 2020, 369: m1464.
[10] Mangiarotti S, Peyre M, Zhang Y, Huc M, Roger F, Kerr Y. Chaos theory applied to the outbreak of Covid-19: an ancillary approach to decision-making in pandemic context[J]. Epidemiology and Infection, 2020, 148: 1-29.
[11] 王宁,郭玮,路国粹.基于应急案例的情景决策支持方法研究[J].运筹与管理,2017,26(01):68-75.
[12] Karnon J. A simple decision analysis of a mandatory lockdown response to the COVID-19 pandemic[J]. Applied Health Economics and Health Policy, 2020, 18: 329-331.
[13] Martino J P. The delphi method: tech-niques and applications[J]. Technologic-al Forecasting Social Change, 1976, 8(4): 441-442.
[14] 韩明.FTA法和重要度分析在某系统可靠性中的应用[J].运筹与管理,2000(01):58-63.
[15] 刘洋,樊治平,尤天慧,王晓荣.基于故障树分析的堰塞湖溃坝概率估计方法[J].运筹与管理,2017,26(07):138-146.
[16] Figueira José, Greco S, Ehrgott M. Multiple criteria decision analysis: state of the art surveys[M]. Springer New York, 2005.

基于FTA方法的COVID-19疫情应急防控决策研究

Emergency Prevention and Control Decision of COVID-19 Based on FTA

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