Data laboratory for supply chain response models during epidemic outbreaks
Data laboratory for supply chain response models during epidemic outbreaks
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DOI：
10.1007/s10479-017-2462-y
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发表时间：
2018-11-01
影响因子：
4.8
通讯作者：
Lejeune, Miguel A.
中科院分区：
文献类型：
--
作者：
Anparasan, Azrah A.;Lejeune, Miguel A.
发展中国家的灾害极大地影响了经济和长期发展。近年来，海地和西非等国的疫情暴发有所增加。然而，与发达国家相比，发展中国家似乎缺乏应对疫情暴发挑战的决策支持。缺乏数据来实施这样的模型是一个潜在的原因。本文提供了一个数据集，它将允许开发数据驱动的分配模型和政策，以应对发展中国家的疫情暴发。该数据集是针对2010年海地地震后发生的霍乱疫情。详细的时间序列患者数据旨在促进多时期供应链模型的开发和评估，这些模型支持紧急卫生响应，分配医疗资源和工作人员，并设计人道主义利益攸关方之间的协调机制。我们还提供了一个简单的模型来说明如何利用这些数据来开发基本的疫情爆发响应模型。该数据集将在线提供给对开发该领域模型感兴趣的研究人员。
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.