A random spatial sampling method in a rural developing nation.

ABSTRACT:

Background

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.

Methods

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.

Results

This method offers an alternative sampling technique that could reduce opportunities for bias in household selection compared to cluster methods. However

SUBMITTER: Kondo MC 

PROVIDER: S-EPMC4021077 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature