Spatial sampling design for a demographic and health survey
Spatial sampling design for a demographic and health survey
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DOI：
10.1007/s11113-007-9044-7
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发表时间：
2007-12-01
影响因子：
2.4
通讯作者：
Kumar, Naresh
中科院分区：
文献类型：
--
作者：
Kumar, Naresh
全球定位系统（GPS）、地理信息系统（GIS）和遥感（RS）的最新进展可用于人口和健康调查的空间抽样设计。当没有抽样框架和/或（住户）位置对数据收集很重要时（例如，居住地点可能会极大地影响人口中的成员暴露于环境空气污染）。这些技术的基础上，本文提出了一种方法，通过在德里及其周边地区进行的呼吸系统健康和人口调查，从2004年1月至4月的空间抽样。调查的总体目标是选择能够充分反映环境空气污染暴露情况的家庭。拟议的方法包括建立一个住宅区抽样框架和模拟住宅区内的加权随机点。在模拟地点进行导航，以确定这些地点的住户，并征得居民同意参加调查;在2，000个模拟地点，共有1，576个住户被认为适合参加调查。采样点的平均环境空气污染与研究区域的平均空气污染没有显著差异，这证明了所提出的采样方法的鲁棒性。
The recent advances in global position systems (GPS), geographic information systems (GIS), and remote sensing (RS) can be exploited for spatial sampling design for demographic and health surveys. These technologies are particularly useful when a sampling frame is unavailable and/or location (of household) is important for data collection (e.g., location of residence might greatly impact exposure to ambient air pollution among members of a population). Building on these technologies, this article presents a methodology of spatial sampling adopted for the respiratory health and demographic survey conducted in Delhi and its environs from January through April 2004. The overall goal of the survey was to select households that adequately represented exposure to ambient air pollution. The proposed methodology involved constructing a sampling frame of residential areas and the simulation of weighted random points within residential areas. The simulated locations were navigated with the aid of GPS to identify households at these locations and to acquire residents' consent to participate in the survey; a total of 1,576 households at the 2,000 simulated locations were found suitable and participated in the survey. The average ambient air pollution at the sample sites was not significantly different from the average air pollution observed in the study area, which demonstrates the robustness of the proposed sampling method.