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EpiSimS Simulation of a Multi-Component Strategy for Pandemic Influenza

机译:大流行性流感多组分策略的EpiSimS模拟

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Limited stockpiles of antiviral medications and lack of availability of early strain-specific vaccine will require a multi-component strategy of pharmaceutical and non-pharmaceutical measures to delay or contain a future catastrophic avian influenza pandemic. A strategy composed of the antiviral stockpile distribution, school closures, and social distancing, followed by strain-specific vaccine when available is proposed. The EpiSimS agent-based simulation model with a structured population is used to assess the effectiveness of this strategy and to explore the sensitivity of its elements, in particular the level of school closures and the start time for non-pharmaceutical interventions, with varying amounts of expected fear-based isolation behavior. Results show that the level of school closure has the largest effect on reducing morbidity and mortality, comparable to US seasonal flu when starting early with a high level of school closures. Small variations of fear-based isolation showed little impact on morbidity and mortality, though a large second-order effect is seen on worker absenteeism.
机译:抗病毒药物库存有限以及缺乏早期菌株特异性疫苗将需要采取药物和非药物措施的多成分策略来延迟或遏制未来的灾难性禽流感大流行。提出了一种由抗病毒库存分布,学校停课和社会疏远组成的策略,并在可行时再加上特定菌株的疫苗。具有结构化总体的基于EpiSimS代理的仿真模型用于评估该策略的有效性,并探讨其要素的敏感性,尤其是学校停课的水平和非药物干预措施的开始时间,且干预措施的数量各不相同。预期的基于恐惧的隔离行为。结果显示,停学水平对降低发病率和死亡率具有最大的作用,与从高水平停学初期开始的美国季节性流感相当。基于恐惧的隔离的小变化对发病率和死亡率几乎没有影响,尽管对工人旷工的影响很大。

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