...
首页> 外文期刊>Systems, Man and Cybernetics, IEEE Transactions on >Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details
【24h】

Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details

机译:基于代理的基于地理空间和医学细节的灾害响应系统评估

获取原文
获取原文并翻译 | 示例
           

摘要

Many disasters have occurred around the world and have caused sizable damage. A disaster, called a mass casualty incident (MCI), generates a large number of casualties that overwhelm the capacity of local medical resources, and the disaster responses to the MCI requires many interactions among the disaster responders. To evaluate the efficiency of the disaster responses against MCIs, this paper proposes an agent-based model describing the cooperations among the responders during the overall process in the disaster responses from transporting patients to their definitive care. In particular, the proposed model includes geospatial details, such as the road network and the location of hospitals around the disaster scene, and medical information, such as the distribution of medical resources and transporting units, in the region of interest to discover the key factors of the disaster response system that customized to the target region. The case study in this paper presents that the proposed approach was applied to describe a disaster response system and illustrates how the additional details are utilized to analyze the disaster response system. We expect that the proposed method can provide comprehensive insights to a disaster response system of interest, and it can be used as groundwork for improving the disaster response system.
机译:世界各地发生了许多灾难,并造成了巨大的破坏。称为大规模人员伤亡事件(MCI)的灾难会造成大量人员伤亡,从而淹没当地医疗资源的能力,对MCI的灾难响应需要灾难响应者之间的许多互动。为了评估针对MCI的灾难响应的效率,本文提出了一种基于主体的模型,该模型描述了响应者之间在从运送患者到最终护理的整个灾难响应过程中的合作。特别地,所提出的模型包括地理空间细节(例如,灾难现场周围的道路网络和医院的位置)以及医学信息(例如感兴趣区域中的医疗资源和运输单位的分布),以发现关键因素针对目标区域定制的灾难响应系统。本文中的案例研究表明,所提出的方法用于描述灾难响应系统,并说明了如何利用附加的细节来分析灾难响应系统。我们希望所提出的方法可以为感兴趣的灾难响应系统提供全面的见解,并且可以用作改进灾难响应系统的基础。

著录项

  • 来源
  • 作者单位

    SmartData Research Group, Electronics and Telecommunications Research Institute, Daejeon, South Korea;

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea;

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea;

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea;

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea;

    Department of Emergency Medicine, Inje University College of Medicine and SeoulPaik Hospital Chair, Seoul, South Korea;

    Department of Emergency Medicine, Seoul Samsung Hospital, Seoul, South Korea;

    Department of Emergency Medicine, Soonchunhyang University School of Medicine, Bucheon Hospital, Gyonggi-do, South Korea;

    Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Mathematical model; Hospitals; Geospatial analysis; Transportation; Analytical models; Biological system modeling;

    机译:数学模型;医院;地理空间分析;交通运输;分析模型;生物系统建模;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号