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Open Access Highly Accessed Methodology

Choosing a survey sample when data on the population are limited: a method using Global Positioning Systems and aerial and satellite photographs

Harry S Shannon1*, Royce Hutson25, Athena Kolbe3, Bernadette Stringer4 and Ted Haines1

Author Affiliations

1 Department of Clinical Epidemiology and Biostatistics, McMaster University, CRL-221, 1280 Main St West, Hamilton, ON, Canada, L8S 4K1

2 School of Social Work, Wayne State University, Detroit, Michigan, USA

3 Social Work and Political Science, University of Michigan, Ann Arbor, Michigan, USA

4 Faculty of Health Sciences, Simon Fraser University, Burnaby, Canada

5 Present address: Boise State University, Boise, Idaho, USA

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Emerging Themes in Epidemiology 2012, 9:5  doi:10.1186/1742-7622-9-5

Published: 11 September 2012

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.

Keywords:
Sampling methods; Surveys; Surveys in difficult situations; Sampling weights; Global Positioning Systems; Aerial photographs; Satellite photographs; Lebanon