DocumentCode :
1266794
Title :
Estimating Workforce-Related Economic Impact of a Pandemic on the Commonwealth of Virginia
Author :
Orsi, Mark J. ; Santos, Joost R.
Author_Institution :
Center for Risk Manage. of Eng. Syst., Univ. of Virginia, Charlottesville, VA, USA
Volume :
40
Issue :
2
fYear :
2010
fDate :
3/1/2010 12:00:00 AM
Firstpage :
301
Lastpage :
305
Abstract :
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.
Keywords :
economics; emergency services; probability; dynamic inoperability input-output model; economic perturbations; emergency-preparedness policymakers; pandemic outbreak; probabilistic inoperability; time-varying inoperability; workforce-related economic impact; Economic interdependence; Virginia; inoperability input–output modeling; pandemic; resilience;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2009.2033032
Filename :
5313859
Link To Document :
بازگشت