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基层医疗中心(PHCC)的多目标规划选址:以叙利亚伊德利卜为例。

Primary Health Care Center (PHCC) Location-Allocation with Multi-Objective Modelling: A Case Study in Idleb, Syria.

机构信息

Department of Industrial Engineering, Çukurova University, Sarıçam 01330, Turkey.

出版信息

Int J Environ Res Public Health. 2019 Mar 6;16(5):811. doi: 10.3390/ijerph16050811.

Abstract

The Syrian crisis began on 15 March 2011. It is one of the bloodiest and complicated conflicts in the world today. Although almost eight years have passed over this tragedy, civilians continue to suffer from conflicts and destructions in the area. As a result, this situation disregards human life and the number of people in need increases day by day. Particularly, people who have to live in the conflict area encounter troubles with regard to health, shelter, food and other needs. Thus, we have focused on identifying the Primary Health Care Center (PHCC) locations within Idleb Governorate in Syria. Data is extracted from a sample containing 23 sub-districts in the governorate and a total of 338 communities. We have formulated a mixed integer-weighted goal programming model and combined it with a Geographic Information System-GIS (ArcMap). The model is solved via an optimization package and moreover, sensitivity analyses are conducted to achieve a more in-depth study. Our aim was to have 60 PHCCs out of 77 available candidate PHCCs and the model located 42 PHCCs in total, by allocating 379,080 people, with a total cost of USD 1,000,353 and a cash for work amounting to USD 163,549. Accordingly, the model's outputs and sensitivity analyses are expected to help decision-makers in case of such disasters.

摘要

叙利亚危机始于 2011 年 3 月 15 日。这是当今世界最血腥和复杂的冲突之一。尽管这场悲剧已经过去了将近八年,但平民仍在该地区继续遭受冲突和破坏的影响。因此,这种情况无视人命,每天需要援助的人数都在增加。特别是,那些不得不在冲突地区生活的人,在健康、住所、食物和其他需求方面遇到了困难。因此,我们专注于确定叙利亚伊德利卜省的初级保健中心 (PHCC) 位置。数据是从包含该省 23 个分区和 338 个社区的样本中提取的。我们制定了一个混合整数加权目标规划模型,并将其与地理信息系统 (GIS)(ArcMap)结合使用。该模型通过优化软件包进行求解,此外,还进行了敏感性分析,以进行更深入的研究。我们的目标是在 77 个候选 PHCC 中选择 60 个 PHCC,该模型总共确定了 42 个 PHCC,为 379,080 人分配服务,总成本为 1000353 美元,劳动力报酬为 163549 美元。因此,该模型的输出和敏感性分析有望为决策者在发生此类灾害时提供帮助。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81ec/6427457/99caf46e051e/ijerph-16-00811-g001.jpg

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