A random spatial sampling method in a rural developing nation

Michelle Kondo; Kent D.W. Bream; Frances K. Barg; Charles C. Branas

doi:10.1186/1471-2458-14-338

Treesearch

A random spatial sampling method in a rural developing nation

Formally Refereed

Authors:

Michelle Kondo, Kent D.W. Bream, Frances K. Barg, Charles C. Branas

Year:

2014

Type:

Scientific Journal

Station:

Northern Research Station

DOI:

https://doi.org/10.1186/1471-2458-14-338

Source:

BMC Public Health. 14(1): 338.

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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.

Keywords

Geographic random sampling, Social surveys, Geographic information system (GIS), Global positioning system (GPS), Satellite imagery, Guatemala

Citation

Kondo, 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.