Data laboratory for supply chain response models during epidemic outbreaks

Azrah A. Anparasan () and Miguel Lejeune ()
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Azrah A. Anparasan: The George Washington University

Annals of Operations Research, 2018, vol. 270, issue 1, No 4, 53-64

Abstract: Abstract Disasters in developing countries tremendously affect the economy and long-term development. Recent years have seen an increase in epidemic outbreaks in countries like Haiti and in West Africa. However, there seems to be a lack of decision support to address epidemic outbreak challenges in developing countries compared to their developed counterparts. The lack of data to implement such models is a potential reason. This paper presents a data set that will permit to develop data-driven allocation models and policies for an epidemic outbreak in a developing country. The data set is for the cholera epidemic that occurred in the aftermath of the 2010 earthquake in Haiti. The detailed time-series patient data is intended to facilitate the development and evaluation of multi-period supply chain models that support emergency health response, allocate medical resources and staff, and design coordination mechanisms among humanitarian stakeholders. We also provide a simple model to illustrate how the data can be utilized to develop a basic epidemic outbreak response model. The data set will be made available online for researchers interested in developing models in this field.

Keywords: Data-driven models; Supply chain; Health care; Time-series data; Epidemic outbreaks; Emergency response (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10479-017-2462-y

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