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中国国际进口博览会传染病疫情防控中跨部门协同机制的应用与评价

Application and evaluation of cross-departmental collaboration mechanism in the control of infectious diseases during the China International Import Expos

  • 摘要:
    目的  分析2018—2024年每年11月在上海市举办的中国国际进口博览会疫情风险应对策略,探讨危机管理PPRR模型在大型活动跨部门传染病疫情协同防控中的应用,为优化常态化防控下跨部门协同机制提供实证依据与理论参考。
    方法  收集前7届国际进口博览会传染病疫情防控工作方案、应急预案、技术指引、总结工作报告以及进口博览会期间上海市疾病预防控制中心参与处置的相关传染病疫情案例等,采用案例分析法,基于PPRR模型分析跨部门协同分别在预防阶段、准备阶段、响应阶段和恢复阶段的做法和取得的成效。
    结果  创新性建立“1+6+N”跨部门指挥架构,建立高效信息协同机制。预防阶段构建跨部门、多维风险评估模型,采取分层监测策略,强化健康监测等关键措施;准备阶段建立“工作方案+应急预案+技术指引/操作手册”3大类模块化防控方案库,开展跨部门联合培训演练以及合理配置应急物资储备,极大地提高了应急队伍响应速度;响应阶段严格落实“4+12小时”处置要求,创新“卫生—公安—进口博览混合编组”应急响应单元模式。通过风险分级管理,有效控制发现疫情风险—风险确认—风险管理时间间隔;恢复阶段通过开展全过程事后评估,在评估保障效果的同时进一步固化经验,推动资源配置和处置流程优化。经评估,上述措施可有效实现风险预警时效提升至30 min内,整体事件决策响应时间平均缩短至传统模式的10%,从未发生由于举办大型活动引起的重点传染病疫情和规模性聚集性疫情。
    结论  基于PPRR模型构建的协同机制架构可有效用于大型活动跨部门协同机制的评价。后续可在机制创新、技术赋能、协同治理3个维度继续推进大型活动传染病疫情防控的跨部门协同工作。

     

    Abstract:
    Objective To explore the application of the prevention, preparation, response, and recovery (PPRR) theory in the cross-departmental collaboration in the prevention and control of infectious diseases in the China International Import Expos (CIIEs) held in every November in Shanghai from 2018 to 2024, thus providing an empirical basis and theoretical reference for optimizing the cross-departmental collaboration mechanism under regular prevention and control.
    Methods We collected the epidemic prevention and control work plans, emergency response plans, technical guidelines, summary reports, and relevant epidemic cases handled by Shanghai Center for Disease Control and Prevention during the CIIEs from 2018 to 2024. The case analysis method was used to analyze the practices and achievements of cross-departmental collaboration in the prevention, preparation, response, and recovery phases based on the PPRR model.
    Results An efficient information collaboration mechanism was established based on an innovative "1+6+N" cross-departmental command architecture. The work in the prevention phase encompassed establishing a cross-departmental and multi-dimensional risk assessment model, adopting a layered monitoring strategy, and strengthening health monitoring. In the preparation phase, a modular prevention and control plan library was established, consisting of work plans, emergency plans, and technical guidance or operation manuals. In addition, cross-departmental joint training and exercises were conducted, and emergency material reserves were reasonably allocated to improve the response speed. In the response phase, a "4 h plus 12 h" disposal requirement was strictly implemented. Public health, security and CIIE bureau teams were mixed as an emergency response group and divided into several units. The interval between risk identification and risk confirmation as well as between risk confirmation and risk management was strictly controlled through risk hierarchical management. During the recovery phase, full-process post evaluation was conducted to solidify experience and promote optimization of resource allocation and disposal processes while assessing the effectiveness of the response. Upon evaluation, the above measures are expected to be effective to increase the risk warning time to within 30 minutes and reduce the overall emergency decision-making and response time to 10% of that under the conventional model. Therefore, Shanghai achieved "zero infection" of epidemics and "zero transmission" of imported diseases.
    Conclusions The collaborative mechanism architecture constructed based on the PPRR model can be used for the research of cross-departmental collaborative mechanisms in mass gatherings. In the future, cross-departmental collaboration on infectious disease prevention and control in mass gatherings can be further promoted in three dimensions: mechanism innovation, technological empowerment, and collaborative governance.

     

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