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 sub-district levels are urgently needed. This article details our experience using remote satellite imagery to develop a provincial-level representative community survey sampling frame to evaluate the effects of a 7-year health system intervention in Sofala Province, Mozambique.

Methods

Mozambique's most recent census was conducted in 2007, and no data are readily available to generate enumeration areas for representative health survey sampling frames. To remedy this, we partnered with the H

SUBMITTER: Wagenaar BH 

PROVIDER: S-EPMC6206736 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature