在巴西联邦区使用地理编码技术进行流行病监测:使用登革热的案例研究
Lucas Sanglard1, Klauss K S Garcia2, Walter Massa Ramalho3
1Ministry of Health, Secretariat of Health Surveillance and Environment, Brasília.
Geospatial health
|September 2, 2025
概括
在比较登革热监测的地理编码服务时, 这些工具有助于确定流行病监测中的干预优先事项.
科学领域:
- 流行病学
- 地理信息系统 (GIS)
- 公共卫生
背景情况:
- 准确的地理编码对于流行病监测和资源分配至关重要.
- 登革热监测依赖于准确的位置数据以及时进行干预.
- 评估地理编码服务对于优化公共卫生战略至关重要.
研究的目的:
- 比较不同地理编码服务在流行病监测中的准确性和适用性.
- 使用登革热病例数据评估包括谷歌地图,CNEFE,OpenStreetMap (OSM) 和ArcGIS在内的地理编码工具.
- 确定用于公共卫生中的核密度分析最有效的地理编码方法.
主要方法:
- 在巴西的SINAN数据库中使用登革热病例通报的横截面描述性研究 (2014年).
- 使用完整的邮政编码 (CEP) 数据作为黄金标准来评估地理编码准确性.
- 四个地理编码工具 (谷歌地图API,CNEFE,OSM,ArcGIS) 根据准确率和平均空间误差 (MSE) 进行了评估.
主要成果:
- 谷歌地图API的精度达到17.6% (MSE: 178.89km),CNEFE的精度达到9.0% (MSE: 17.24km),OSM的精度达到7.1% (MSE: 564.19km),ArcGIS的精度达到3.7% (MSE: 2001.33km).
- 尽管谷歌地图API和CNEFE的整体准确性不高,但它们在内核密度分析中表现出了有效性.
- 使用前两种模型的核密度分析显示出登革热病例的类似空间模式.
结论:
- 在流行病监测中推使用谷歌地图API,其次是CNEFE.
- 地理编码服务的选择应考虑准确性和可用的财务资源.
- 有效的地理编码对于确定公共卫生干预的优先领域至关重要.
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