网络协作数据集和行政数据集之间的协议,以评估墨西哥零售食品环境
Yenisei Ramírez-Toscano1, Daniel Skaba2, Vanderlei Pascoal de Matos2
1Center for Population Health Research, National Institute of Public Health, Avenida Universidad 655, Santa María Ahuacatitlán, Cuernavaca, Morelos CP, 62100, Mexico.
BMC public health
|April 1, 2024
概括
谷歌地图数据显示,拉丁美洲的食品出售点密度与官方注册表有很大一致,特别是餐馆和专卖店. 在更贫困的地区,同意率下降,这表明在线数据中的潜在偏差.
科学领域:
- 公共卫生 营养 公共卫生 营养
- 地理信息系统 (GIS) 是指地理信息系统.
- 健康的社会经济决定因素
背景情况:
- 在拉丁美洲国家,有限的食品销售点数据可用性阻碍了公共卫生研究和政策.
- 在线搜索引擎为识别食品商店提供了潜在的替代方案,但它们的准确性需要与现场观测对比.
- 评估基于网络的数据和行政注册表之间的协议对于理解食品环境可访问性至关重要.
研究的目的:
- 为了评估谷歌地图数据和拉丁美洲市政当局的行政登记 (DENUE) 之间的食品出售点密度的协议.
- 要确定该协议是否因食品网点类型 (例如餐厅,便利店) 而有所不同.
- 调查协议是否受到区域级社会经济贫困的影响.
主要方法:
- 一项横截面研究分析了墨西哥四个市镇的1693张人口普查片.
- 通过利用谷歌地图的定制工具获取食品网点数据.
- 使用布兰德-阿尔特曼图表,一致性相关系数 (CCC) 和加权的卡帕统计数据来评估协议,将谷歌数据与经济单位国家统计目录 (DENUE) 进行比较.
主要成果:
- 总的来说,在谷歌和DENUE数据之间发现了很强的相关性 (CCC=0.75).
- 协议因食品网点类型而异,餐厅 (kappa=0.69) 和专卖食品商店 (kappa=0.68) 的协议很大,但便利店和糖果店的协议只有适度或公平.
- 随着社会经济贫困的增加,一致性下降,在贫困程度低的地区显示出实质性的协议 (kappa=0.63),但在贫困程度非常高的地区 (kappa=0.42) 只有中等的协议.
结论:
- 谷歌地图数据可以成为评估固定食品出口密度的宝贵工具,特别是对于餐馆和专业食品商店来说,作为一个分类指标.
- 谷歌数据对于了解食品出售点可用性的实用性在较不贫困地区更为明显.
- 需要进一步的研究来完善在各种社会经济背景下利用在线数据的方法.
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