A random spatial sampling method in a rural developing nation

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ID: 260579
2014
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Abstract
Nonrandom sampling of populations in developing nations has limitations and can inaccurately estimate health phenomena, especially among hard-to-reach populations such as rural residents. However, random sampling of rural populations in developing nations can be challenged by incomplete enumeration of the base population. We describe a stratified random sampling method using geographical information system (GIS) software and global positioning system (GPS) technology for application in a health survey in a rural region of Guatemala, as well as a qualitative study of the enumeration process. This method offers an alternative sampling technique that could reduce opportunities for bias in household selection compared to cluster methods. However, its use is subject to issues surrounding survey preparation, technological limitations and in-the-field household selection. Application of this method in remote areas will raise challenges surrounding the boundary delineation process, use and translation of satellite imagery between GIS and GPS, and household selection at each survey point in varying field conditions. This method favors household selection in denser urban areas and in new residential developments. Random spatial sampling methodology can be used to survey a random sample of population in a remote region of a developing nation. Although this method should be further validated and compared with more established methods to determine its utility in social survey applications, it shows promise for use in developing nations with resource-challenged environments where detailed geographic and human census data are less available.
Reference Key
kondo2014bmca Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Michelle C Kondo;Kent DW Bream;Frances K Barg;Charles C Branas;Michelle C Kondo;Kent DW Bream;Frances K Barg;Charles C Branas;
Journal BMC public health
Year 2014
DOI
doi:10.1186/1471-2458-14-338
URL
http://dx.doi.org/10.1186/1471-2458-14-338
Keywords
Epidemiology public health vaccine environmental health biostatistics general medicine/public health qualitative research National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine research support non-u.s. gov't u.s. gov't non-p.h.s. developing countries* Rural Population* geographic information systems bias guatemala health surveys / methods* censuses pmid:24716473 pmc4021077 doi:10.1186/1471-2458-14-338 michelle c kondo kent d w bream charles c branas sampling studies*

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