摘要
为有效控制突发疫情,确保预防接种的安全性,从疫苗研发、审批、生产、流通以及疫苗上市后不良反应的全产业链过程分析入手,把这些过程视为一个相互联系的不确定复杂网络系统,通过建立评价指标体系,构建贝叶斯网络模型和仿真分析对疫苗质量安全进行量化评估。结果表明,贝叶斯网络可以用于疫苗质量安全度量上,并且在疫苗全产业链过程中,实验室的人员素质、审评专家意见客观性、质量检测过程和疫苗的储存环境是保障疫苗质量安全的关键点。
In order to effectively control the outbreak and ensure the effectiveness and safety of vaccination,from the full-industrial chain process analysis of vaccine development,approval,production,circulation,and vaccine,it will be regarded as an interrelated uncertain complex network.The system is built by establishing an evaluation index system,constructing a quantitative assessment of vaccine quality safety in Bayesian network models and simulation analysis.The results show that the Bayesian network can be used for vaccine quality safety measters,and in the process of the vaccine,the quality of the laboratory,the review expertise,the quality testing process and the storage environment of the vaccine is to ensure the quality of the vaccine.
作者
谢小良
成佳祺
黄凌璐
左锦霞
刘光男
李慧慧
XIE Xiao-liang;CHENG Jia-qi;HUANG Ling-lu;ZUO Jin-xia;LIU Guang-nan;LI Hui-hui(School of Science,Hunan Technology and Business University,Changsha Hunan 410205;Big Data and Internet Innovation Research Institute,Hunan Technology and Business University,Changsha Hunan 410205)
出处
《湖南财政经济学院学报》
2022年第2期35-43,共9页
Journal of Hunan University of Finance and Economics
基金
国家社会科学基金项目“基于贝叶斯网络的疫苗安全监测与预警系统研究”(项目编号:19BTJ011)
湖南省教育厅科学研究重点项目“新冠疫情背景下生态环境风险监测与预警体系研究”(项目编号:20A12)。
关键词
疫苗质量安全
全产业链
贝叶斯网络
仿真分析
vaccine quality
full-industrial chain
Bayesian network
simulation analysis
