Stresman G H, Stevenson J C, Owaga C, Marube E, Anyango C, Drakeley C, Bousema T, Cox J
Department of Immunology & Infection, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine,London,UK.
Department of Disease Control, Faculty of Infectious & Tropical Diseases,London School of Hygiene & Tropical Medicine, London,UK.
Epidemiol Infect. 2014 Sep;142(9):1978-89. doi: 10.1017/S0950268814000946. Epub 2014 May 1.
Understanding the spatial distribution of disease is critical for effective disease control. Where formal address networks do not exist, tracking spatial patterns of clinical disease is difficult. Geolocation strategies were tested at rural health facilities in western Kenya. Methods included geocoding residence by head of compound, participatory mapping and recording the self-reported nearest landmark. Geocoding was able to locate 72·9% [95% confidence interval (CI) 67·7-77·6] of individuals to within 250 m of the true compound location. The participatory mapping exercise was able to correctly locate 82·0% of compounds (95% CI 78·9-84·8) to a 2 × 2·5 km area with a 500 m buffer. The self-reported nearest landmark was able to locate 78·1% (95% CI 73·8-82·1) of compounds to the correct catchment area. These strategies tested provide options for quickly obtaining spatial information on individuals presenting at health facilities.
了解疾病的空间分布对于有效控制疾病至关重要。在没有正式地址网络的地方,追踪临床疾病的空间模式很困难。在肯尼亚西部的农村卫生设施对地理定位策略进行了测试。方法包括按大院负责人对住所进行地理编码、参与式绘图以及记录自我报告的最近地标。地理编码能够将72.9%[95%置信区间(CI)67.7 - 77.6]的个体定位到距离真实大院位置250米范围内。参与式绘图活动能够将82.0%的大院(95% CI 78.9 - 84.8)正确定位到一个2×2.5公里的区域,并带有500米的缓冲区。自我报告的最近地标能够将78.1%(95% CI 73.8 - 82.1)的大院定位到正确的集水区。这些经过测试的策略为快速获取到卫生设施就诊个体的空间信息提供了选择。