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

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...

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Detalles Bibliográficos
Autores principales: Orsi, Mark J., Santos, Joost R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176465/
https://www.ncbi.nlm.nih.gov/pubmed/32390784
http://dx.doi.org/10.1109/TSMCA.2009.2033032
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author Orsi, Mark J.
Santos, Joost R.
author_facet Orsi, Mark J.
Santos, Joost R.
author_sort Orsi, Mark J.
collection PubMed
description 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.
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spelling pubmed-71764652020-05-07 Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia Orsi, Mark J. Santos, Joost R. IEEE Trans Syst Man Cybern A Syst Hum Papers 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. IEEE 2009-11-06 /pmc/articles/PMC7176465/ /pubmed/32390784 http://dx.doi.org/10.1109/TSMCA.2009.2033032 Text en https://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
spellingShingle Papers
Orsi, Mark J.
Santos, Joost R.
Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title_full Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title_fullStr Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title_full_unstemmed Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title_short Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
title_sort estimating workforce-related economic impact of a pandemic on the commonwealth of virginia
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7176465/
https://www.ncbi.nlm.nih.gov/pubmed/32390784
http://dx.doi.org/10.1109/TSMCA.2009.2033032
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