Developing a representative community health survey sampling frame using open-source remote satellite imagery in Mozambique

Developing a representative community health survey sampling frame using open-source remote satellite imagery in Mozambique

Abstract Background Lack of accurate data on the distribution of sub-national populations in low- and middle-income countries impairs planning, monitoring, and evaluation of interventions. Novel, low-cost methods to develop unbiased survey sampling frames at sub-national, sub-provincial, and even su...

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Bibliographic Details
Main Authors: Bradley H. Wagenaar, Orvalho Augusto, Kristjana Ásbjörnsdóttir, Adam Akullian, Nelia Manaca, Falume Chale, Alberto Muanido, Alfredo Covele, Cathy Michel, Sarah Gimbel, Tyler Radford, Blake Girardot, Kenneth Sherr, with input from the INCOMAS Study Team
Format: Article
Language:English
Published: BMC 2018-10-01
Series:International Journal of Health Geographics
Subjects:
Geographic information systems
Survey design
Satellite imagery
Remote sensing
Sampling
Evaluation
Online Access:http://link.springer.com/article/10.1186/s12942-018-0158-4

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http://link.springer.com/article/10.1186/s12942-018-0158-4

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