Pandemic drug rationing model: Nebraska state government case study
Dara Schniederjans,
Qing Cao and
Marc J. Schniederjans
International Journal of Operational Research, 2017, vol. 29, issue 4, 478-494
Abstract:
The avian influenza-A (bird flu) is fatally active today and could mutate into a serious pandemic at any time. Countries are developing and updating strategies to cope with potential outbreaks of pandemics. The avian influenza-A outbreak that occurred between 2000 and 2010 possessed the greatest deadly threat since the Black Plague of Europe. The US Federal Government's response to the avian influenza-A involved providing a limited ration of vaccine doses to state governments that would then decide how best to ration allocations. This paper presents an actual case study where an integer linear programming model was developed for the state of Nebraska to solve its rationing of antiviral drugs to regional medical departments for ex-ante (before event) and medias res (middle of the event) decision purposes. The capabilities of the modelling approach provide a unique contribution to the literature and are applicable to any kind of pandemic rationing effort.
Keywords: health service; planning; avian influenza; bird flu; rationing; antiviral drugs; pandemic; ex-ante decision making; medias res decision making; government; integer programming; practice of OR; optimisation. (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=85095 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijores:v:29:y:2017:i:4:p:478-494
Access Statistics for this article
More articles in International Journal of Operational Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().