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Article
Choosing a Survey Sample When Data on the Population are Limited: A Method Using Global Positioning Systems and Aerial and Satellite Photographs
Emerging Themes in Epidemiology
  • Harry S. Shannon, McMaster University
  • Royce Hutson, Wayne State University
  • Athena Kolbe, University of Michigan - Ann Arbor
  • Bernadette Stringer, Simon Fraser University
  • Ted Haines, McMaster University
Document Type
Article
Publication Date
9-11-2012
DOI
http://dx.doi.org/10.1186/1742-7622-9-5
Abstract

Background: Various methods have been proposed for sampling when data on the population are limited. However, these methods are often biased. We propose a new method to draw a population sample using Global Positioning Systems and aerial or satellite photographs.

Results: We randomly sampled Global Positioning System locations in designated areas. A circle was drawn around each location with radius representing 20 m. Buildings in the circle were identified from satellite photographs; one was randomly chosen. Interviewers selected one household from the building, and interviews were conducted with eligible household members.

Conclusions: Participants had known selection probabilities, allowing proper estimation of parameters of interest and their variances. The approach was made possible by recent technological developments and access to satellite photographs.

Copyright Statement

This document was originally published in Emerging Themes in Epidemiology. This work is provided under a Creative Commons Attribution 2.0 license. Details regarding the use of this work can be found at: http://creativecommons.org/licenses/by/2.0/. DOI:10.1186/1742-7622-9-5

Citation Information
Harry S. Shannon, Royce Hutson, Athena Kolbe, Bernadette Stringer, et al.. "Choosing a Survey Sample When Data on the Population are Limited: A Method Using Global Positioning Systems and Aerial and Satellite Photographs" Emerging Themes in Epidemiology (2012)
Available at: http://works.bepress.com/royce_hutson/8/