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Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia

机译:估算大流行对弗吉尼亚州与劳动力相关的经济影响

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A pandemic outbreak is one of the major planning scenarios considered by emergency-preparedness policymakers. The consequences of a pandemic can significantly affect and disrupt a large spectrum of workforce sectors in today's society. This paper, motivated by the impact of a pandemic, extends the formulation of the dynamic inoperability input–output model (DIIM) to account for economic perturbations resulting from such an event, which creates a time-varying and probabilistic inoperability to the workforce. A pandemic is a unique disaster, because the majority of its direct impacts are workforce related and it does not create significant direct impact to infrastructure. In light of this factor, this paper first develops a method of translating unavailable workforce into a measure of economic-sector inoperability. While previous formulations of the DIIM only allowed for the specification of an initial perturbation, this paper incorporates the fact that a pandemic can cause direct effects to the workforce over the recovery period. Given the uncertainty associated with the impact of a pandemic, this paper develops a simulation framework to account for the possible variations in realizations of the pandemic. The enhancements to the DIIM formulation are incorporated into a MatLab program and then applied to a case study to simulate a pandemic scenario in the Commonwealth of Virginia.
机译:大流行病暴发是应急准备政策制定者考虑的主要规划方案之一。大流行的后果会严重影响和破坏当今社会的众多劳动力部门。本文受到大流行影响的启发,扩展了动态不可操作性投入产出模型(DIIM)的公式,以解决此类事件导致的经济波动,从而给劳动力造成了时变和概率性不可操作性。大流行是一场独特的灾难,因为它的大部分直接影响与劳动力有关,并且不会对基础设施造成重大直接影响。有鉴于此,本文首先提出了一种将劳动力短缺转化为衡量经济部门不可操作性的方法。尽管以前的DIIM公式仅允许说明初始扰动,但本文纳入了一个事实,即大流行可在恢复期内对劳动力造成直接影响。考虑到与大流行影响相关的不确定性,本文开发了一个模拟框架来说明大流行实现中可能存在的变化。 DIIM公式的增强功能已纳入MatLab程序,然后应用于案例研究,以模拟弗吉尼亚州的大流行情况。

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