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A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa

机译:一种新的流行物流模型:洞察西非控制埃博拉病毒疾病

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Highlights?A new integrated epidemics–logistics model to optimize logistics for an epidemic.?The model considers treatment capacity, migration, and spatial transmission rates.?Model predictions closely fit the real 2014–2015 Ebola outbreak case and death data.?Results provide information and insights on intervention timing, location, and intensity.?The model can be adopted to predict and control other infectious diseases.AbstractCompartmental models have been a phenomenon of studying epidemics. However, existing compartmental models do not explicitly consider the spatial spread of an epidemic and logistics issues simultaneously. In this study, we address this limitation by introducing a new epidemics–logistics mixed-integer programming (MIP) model
机译:<![CDATA [ 亮点 一个新的综合流行病-物流模式,以优化物流为一种流行病 < CE:列表项ID = “celistitem0002”> 该模型考虑处理量,迁移和空间传输速率 <?CE:对ID = “para0004” 视图= “所有”>模型预测紧密贴合实际2014-2015埃博拉情况和死亡数据 结果提供信息和干预定时,位置和强度的见解 该模型可以通过预测和控制其他传染病 抽象 房室模型是一个研究流行病的现象。但是,现有的房室模型并没有明确同时考虑到的流行和物流问题的空间传播。在这项研究中,我们通过引入新的流行病物流混合整数规划(MIP)模型解决此限制

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