Using gridded population and quadtree sampling units to support survey sample design in low-income settings.

ABSTRACT:

Background

Household surveys are the main source of demographic, health and socio-economic data in low- and middle-income countries (LMICs). To conduct such a survey, census population information mapped into enumeration areas (EAs) typically serves a sampling frame from which to generate a random sample. However, the use of census information to generate this sample frame can be problematic as in many LMIC contexts, such data are often outdated or incomplete, potentially introducing coverage issues into the sample frame. Increasingly, where census data are outdated or unavailable, modelled population datasets in the gridded form are being used to create household survey sampling frames.

Methods

Previously this process was done by either sampling from a set of the uniform gr

SUBMITTER: Qader SH 

PROVIDER: S-EPMC7099787 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature