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A random spatial sampling method in a rural developing nationAuthor(s): Michelle C. Kondo; Kent D.W. Bream; Frances K. Barg; Charles C. Branas
Source: BMC Public Health. 14(1): 338.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
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DescriptionNonrandom 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.
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CitationKondo, Michelle C.; Bream, Kent D.W.; Barg, Frances K.; Branas, Charles C. 2014. A random spatial sampling method in a rural developing nation. BMC Public Health. 14(1): 338.
KeywordsGeographic random sampling, Social surveys, Geographic information system (GIS), Global positioning system (GPS), Satellite imagery, Guatemala
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