Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala.
Feasibility of satellite image and GIS sampling for population representative surveys: a case study from rural Guatemala.
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DOI：
10.1186/s12942-020-00250-0
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发表时间：
2020-12-05
影响因子：
4.9
通讯作者：
Thomson DR
中科院分区：
文献类型：
--
作者：
Miller AC;Rohloff P;Blake A;Dhaenens E;Shaw L;Tuiz E;Grandesso F;Mendoza Montano C;Thomson DR
具有人口代表性的住户调查方法需要最新的抽样框架和抽样设计，以尽量减少实地工作的时间和费用，特别是在低收入和中等收入国家。传统的方法，如多阶段整群抽样，随机游走或空间抽样可能是繁琐的，昂贵的或不准确的，导致众所周知的偏见。然而，一个新的工具，Epicentre的Geo-Sampler程序，允许简单的结构随机抽样，这可以消除一些这些偏见。我们描述了研究设计过程，经验和教训，使用Geo-Sampler在危地马拉的两个地点选择一个肾脏疾病调查的人口代表性样本。我们成功地使用Epicentre的地理采样器工具在两个半城市危地马拉社区的650个结构进行采样。总体而言，82%的抽样结构是住宅，可以接近招聘。训练30 min后，可由一人进行样本选择。从样品选择到创建现场地图的过程大约需要40小时。结合我们的设计协议，Epicentre地理采样器工具提供了一个可行的，快速的和低成本的替代选择一个代表性的人口样本的流行率调查在我们的半城市危地马拉设置。该工具可能在树木覆盖严重或人口稠密的城市环境中工作得不太好，每个结构都有多个居住单元。同样，虽然这一方法是将非传统生活安排（长期或临时居住在企业、宗教机构或其他结构中的人）包括在内的有效步骤，但它没有考虑到人口中一些最边缘化和最脆弱的人-无住房者、街头流浪者或住在车辆中的人。
Population-representative household survey methods require up-to-date sampling frames and sample designs that minimize time and cost of fieldwork especially in low- and middle-income countries. Traditional methods such as multi-stage cluster sampling, random-walk, or spatial sampling can be cumbersome, costly or inaccurate, leading to well-known biases. However, a new tool, Epicentre’s Geo-Sampler program, allows simple random sampling of structures, which can eliminate some of these biases. We describe the study design process, experiences and lessons learned using Geo-Sampler for selection of a population representative sample for a kidney disease survey in two sites in Guatemala. We successfully used Epicentre’s Geo-sampler tool to sample 650 structures in two semi-urban Guatemalan communities. Overall, 82% of sampled structures were residential and could be approached for recruitment. Sample selection could be conducted by one person after 30 min of training. The process from sample selection to creating field maps took approximately 40 h. In combination with our design protocols, the Epicentre Geo-Sampler tool provided a feasible, rapid and lower-cost alternative to select a representative population sample for a prevalence survey in our semi-urban Guatemalan setting. The tool may work less well in settings with heavy arboreal cover or densely populated urban settings with multiple living units per structure. Similarly, while the method is an efficient step forward for including non-traditional living arrangements (people residing permanently or temporarily in businesses, religious institutions or other structures), it does not account for some of the most marginalized and vulnerable people in a population–the unhoused, street dwellers or people living in vehicles.
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影响因子：
3.8
作者：
Massing, Louis Albert;Aboubakar, Soumah;Luquero, Francisco
通讯作者：
Luquero, Francisco
DOI：
10.1080/13645579.2018.1484989
发表时间：
2018-01-01
影响因子：
3.3
作者：
Cajka, James;Amer, Safaa;Allpress, Justine
通讯作者：
Allpress, Justine
影响因子：
3.3
作者：
Lowther, Sara A.;Curriero, Frank C.;Moss, William J.
通讯作者：
Moss, William J.
影响因子：
7.7
作者：
Milligan, P;Njie, A;Bennett, S
通讯作者：
Bennett, S
影响因子：
3.8
作者：
Luquero, Francisco J.;Grout, Lise;Grais, Rebecca F.
通讯作者：
Grais, Rebecca F.