通过三角化二次数据,在塞内加尔建立一个综合和地理位置的设施清单
Daouda M Gueye1, Alioune Badara Ly2, Babacar Gueye3
1Institut de Recherche en Santé de Surveillance Epidémiologique et de Formations (IRESSEF), Dakar, Senegal.
Scientific data
|January 24, 2024
概括
塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔塞内加尔
科学领域:
- 医疗信息学 医疗信息学
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 一个集中的主设施列表 (MFL) 对于健康计划规划至关重要.
- 塞内加尔缺乏全面的,地理位置的MFL,尽管现有的数据来源.
研究的目的:
- 将现有数据合并为塞内加尔的初步总体设施清单.
- 从不同来源识别独特的设施及其GPS坐标.
主要方法:
- 收集了来自16个数据集的12965个设施观测结果.
- 应用了匹配算法,手动验证和GPS坐标的三角化.
主要成果:
- 创建了4685个独特设施的综合清单.
- 成功地为2,423个设施分配了GPS坐标.
结论:
- 利用现有数据是建立国家MFL的可行第一步.
- 定期更新和加强政府机制对于MFL维护和数据驱动的健康决策至关重要.
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