Name
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. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10479-017-2462-y | Annals OR |
Keywords | Field | DocType |
Data-driven models, Supply chain, Health care, Time-series data, Epidemic outbreaks, Emergency response | Health care,Response model,Mathematical optimization,Economic growth,Decision support system,Developing country,Outbreak,Supply chain,Mathematics,Operations management | Journal |
Volume | Issue | ISSN |
270 | 1-2 | 0254-5330 |
Citations | PageRank | References |
2 | 0.36 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Azrah A. Anparasan | 1 | 2 | 0.36 |
| Miguel A. Lejeune | 2 | 253 | 21.95 |