ArticleInternational journal of environmental research and public health2019
Primary Health Care Center (PHCC) Location-Allocation with Multi-Objective Modelling: A Case Study in Idleb, Syria.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 24 citations in OpenAlex.
- Development and validation of a machine learning based suitability assessment model for primary healthcare facilities in metropolitan China.BMC primary care · 2026Article
- Spatial accessibility modeling to healthcare facilities in the case of health shocks of Midnapore municipality, India.GeoJournal · 2023Article
- Conflict-related health research in Syria, 2011-2019: a scoping review for The Lancet - AUB Commission on Syria.Conflict and health · 2021Article
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3 authors at 1 institution in 1 country.
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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.
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