Article de revue
Sampling at community level by using satellite imagery and geographical analysis
PROBLEM: Traditional random sampling at community level requires a list of every individual household that can be randomly selected in the study community. The longitudinal demographic surveillance systems often used as sampling frames are difficult to create in many resource-poor settings. APPROACH: We used Google Earth imagery and geographical analysis software to develop a sampling frame. Every household structure within the catchment area was digitized and assigned coordinates. A random sample was then generated from the list of households.
Langues
- Anglais
Année de publication
2014
Journal
Bulletin of the World Health Organization
Volume
9
Type
Article de revue
Catégories
- Données
