Zhou Zichen, Yao Lulu, Hou Shike, Zhou Yan, Zhao Chao, Bai Song, Li Nan, Li Tiantian, Zhang Yongzhong
College of Management and Economy, Tianjin University, Tianjin, China.
Institute of Disaster and Emergency Medicine, Tianjin University, Tianjin, China.
China CDC Wkly. 2023 Oct 13;5(41):922-926. doi: 10.46234/ccdcw2023.174.
The swift advancement of biotechnology has presented both opportunities and challenges to our society, thrusting biosafety to the forefront of concern. Consequently, the evaluation of rescue capabilities in the event of a bioterrorism incident becomes of paramount importance. Currently, there is a notable absence of specific measurement criteria and a comprehensive evaluation system. This paper aims to establish a systematic approach towards assessing emergency response capabilities in the context of bioterrorism incidents.
We employed an enhanced Delphi methodology to establish an index evaluation framework. Subsequently, the weight of the judgment matrix was ascertained via the application of the fuzzy comprehensive evaluation approach. This led to the creation of a fuzzy comprehensive evaluation model for bioterrorism rescue capability.
A modified Delphi study was conducted involving 11 experts across two rounds, achieving a response rate of 100%. The Kendall coordination coefficients recorded in the first and second rounds were 0.303 and 0.632, respectively (<0.05). Upon comprehensive analysis involving score, coefficient of variation, and full score ratio, we distinguished five primary indicators and 25 secondary indicators. Subsequently, an evaluation model was developed based on the Analytic Hierarchy Process (AHP) tailored to assess the response to a rescue from bioterrorism.
The expert panel confirmed consensus on all aspects of the model, validating its comprehensive content. The succeeding course of action involves converting the assessment model to a measurable scale, affirming its functionality, and implementing it in practical evaluation tasks to further enhance the capabilities of the biological incident rescue team.
生物技术的迅速发展给我们的社会带来了机遇和挑战，将生物安全推到了关注的前沿。因此，对生物恐怖主义事件发生时救援能力的评估变得至关重要。目前，明显缺乏具体的衡量标准和全面的评估体系。本文旨在建立一种系统的方法来评估生物恐怖主义事件背景下的应急响应能力。
我们采用改进的德尔菲法建立指标评估框架。随后，通过应用模糊综合评价法确定判断矩阵的权重。这导致创建了一个生物恐怖主义救援能力的模糊综合评价模型。
进行了一项涉及11位专家的两轮改进德尔菲研究，回复率达到100%。第一轮和第二轮记录的肯德尔协调系数分别为0.303和0.632（<0.05）。通过综合分析得分、变异系数和满分率，我们区分了五个主要指标和25个次要指标。随后，基于层次分析法（AHP）开发了一个评估模型，专门用于评估对生物恐怖主义救援的响应。
专家小组对模型的各个方面达成了共识，验证了其全面的内容。后续行动包括将评估模型转换为可衡量的尺度，确认其功能，并在实际评估任务中实施，以进一步提高生物事件救援团队的能力。
