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Modeling the public health response to bioterrorism: using discrete event simulation to design antibiotic distribution centers.

机译:对生物恐怖主义的公共卫生响应进行建模:使用离散事件模拟设计抗生素分配中心。

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BACKGROUND: Post-exposure prophylaxis is a critical component of the public health response to bioterrorism. Computer simulation modeling may assist in designing antibiotic distribution centers for this task. METHODS: The authors used discrete event simulation modeling to determine staffing levels for entry screening, triage, medical evaluation, and drug dispensing stations in a hypothetical antibiotic distribution center operating in low, medium, and high disease prevalence bioterrorism response scenarios. Patient arrival rates and processing times were based on prior mass prophylaxis campaigns. Multiple sensitivity analyses examined the relationship between average staff utilization rate (UR) (i.e., percentage of time occupied in patient contact) and capacity of the model to handle surge arrivals. RESULTS: Distribution center operation required from 93 staff for the low-prevalence scenario to 111 staff for the high-prevalence scenario to process approximately 1000 people per hour within the baseline model assumptions. Excess capacity to process surge arrivals approximated (1-UR) for triage staffing. CONCLUSIONS: Discrete event simulation modeling is a useful tool in developing the public health infrastructure for bioterrorism response. Live exercises to validate the assumptions and outcomes presented here may improve preparedness to respond to bioterrorism.
机译:背景:暴露后预防是公共卫生应对生物恐怖主义的重要组成部分。计算机模拟建模可以帮助为此任务设计抗生素分配中心。方法:作者使用离散事件模拟模型来确定假设的抗生素分配中心在低,中和高疾病发生率生物恐怖反应场景中的进入筛选,分类,医学评估和配药站的人员配备水平。患者到达率和处理时间基于先前的大规模预防运动。多重敏感性分析检查了平均员工利用率(UR)(即患者接触时间所占的百分比)与模型处理急诊人员到达能力之间的关系。结果:配送中心的运作需要从低流行率情景的93名员工到高流行率情景的111名员工,以在基线模型假设下每小时处理约1000人。对于分流人员,处理浪涌到达的多余能力大约为(1-UR)。结论:离散事件模拟模型是开发公共卫生基础设施以应对生物恐怖主义的有用工具。进行现场练习以验证此处提出的假设和结果可能会提高应对生物恐怖主义的准备。

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