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

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...

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Detalles Bibliográficos
Autores principales: Shannon, Harry S, Hutson, Royce, Kolbe, Athena, Stringer, Bernadette, Haines, Ted
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492033/
https://www.ncbi.nlm.nih.gov/pubmed/22967277
http://dx.doi.org/10.1186/1742-7622-9-5
Descripción
Sumario: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.