2020
DOI: 10.12688/gatesopenres.13107.1
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A grid-based sample design framework for household surveys

Abstract: Traditional sample designs for household surveys are contingent upon the availability of a representative primary sampling frame. This is defined using enumeration units and population counts retrieved from decennial national censuses that can become rapidly inaccurate in highly dynamic demographic settings. To tackle the need for representative sampling frames, we propose an original grid-based sample design framework introducing essential concepts of spatial sampling in household surveys. In this framework, … Show more

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Cited by 8 publications
(4 citation statements)
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“…The United Nations (UN) recommends using satellite imagery to prioritize and check geospatial processes such as the delineation of enumeration areas during census preparation (United Nations Department of Economic and Social Affairs, 2009). It further supports the construction of population grids as a common spatial reference system as proposed by Stevens et al (2015), Freire et al (2016) and Boo et al (2020).…”
Section: Introductionsupporting
confidence: 77%
“…The United Nations (UN) recommends using satellite imagery to prioritize and check geospatial processes such as the delineation of enumeration areas during census preparation (United Nations Department of Economic and Social Affairs, 2009). It further supports the construction of population grids as a common spatial reference system as proposed by Stevens et al (2015), Freire et al (2016) and Boo et al (2020).…”
Section: Introductionsupporting
confidence: 77%
“…The United Nations (UN) recommends using satellite imagery to prioritize and check geospatial processes such as the delineation of enumeration areas during census preparation (United Nations Department of Economic and Social Affairs (2009)). It further supports the construction of population grids as a common spatial reference system as proposed by Stevens et al (2015); Freire et al (2016); Boo et al (2020).…”
supporting
confidence: 70%
“…together with measures of model uncertainty. The model leveraged household survey data with a probabilistic sampling design 17 , typically adopted in national household surveys, such as Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) 18 . Given that this type of design oversamples locations with higher population densities, we included a weighted-precision approach to recover unbiased estimates of population totals and densities with robust credible intervals 19 .…”
Section: Discussionmentioning
confidence: 99%