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Discrete-Event Simulation Engineering in Evaluation of Medical Treatment Capability against Biochemical Terrorist Attacks

机译：对生物化学恐怖主义攻击的医疗能力评估的离散事件仿真工程

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Large-scale victims would flock to the nearest hospital in a short period of time against biochemical terrorist attacks. It better treat these victims within the "Golden Hour" as more as possibly. In this paper, we proposed a new method to predict the medical treatment capability with two steps. First of all, we built a model to calculate the number of victims arriving in hospital with Monte Carlo Simulation engineering method, and then simulated this model to generate the victims-flow arriving in hospital and made chi-square test to find out that these data distribution follow Poisson distribution approximately. Secondly, we built another model to calculate the medical treatment capability based on the generated data from the first simulation. As a result, we can get the capability and main factors influencing it. The parameters in these models and procedures can be adjusted depending on specific scenarios, so that they can be integrated in decision support systems of relevant engineering areas and play an auxiliary role for decision-makers in an emergency management.
机译：大规模的受害者将在短时间内涌向最近的医院，反对生化恐怖袭击事件。它更好地在“黄金时刻”中更好地对待这些受害者。在本文中，我们提出了一种用两步预测医疗能力的新方法。首先，我们建立了一个模型来计算蒙特卡罗仿真工程方法到达医院的受害者数量，然后模拟了这种模型，以产生到达医院的受害者，并制作Chi-Square测试，了解这些数据分布跟随泊松分布大约。其次，我们建立了另一种模型来基于来自第一次模拟的生成数据来计算医疗处理能力。结果，我们可以获得影响它的能力和主要因素。这些模型和程序中的参数可以根据具体方案进行调整，以便它们可以集成在相关工程领域的决策支持系统中，并在紧急管理中为决策者发挥辅助作用。

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