The DHS Program's Modeled Surfaces Spatial Datasets

Studies in Family Planning
Clara R Burgert-BruckerPeter W Gething

Abstract

Spatially interpolated map surface datasets for key development indicators are being produced and publicly shared using population-based surveys from the USAID-funded Demographic and Health Survey (DHS) Program. Each modeled surface is produced with standardized geostatistical modeling methods. For each indicator, a package is available that includes spatial raster grids of 5 × 5 km pixels for the point estimate surface and an uncertainty surface, along with validation statistics and other model diagnostic data. The maps are publicly available for download on the DHS Program Spatial Data Repository at http://spatialdata.dhsprogram.com/. The modeled surfaces are produced with publicly available geo-referenced data on each indicator as collected by the DHS Program, augmented with other relevant spatial data sources that act as covariates. A Bayesian model-based geostatistical (MBG) approach is used to generate the modeled surfaces. Spatially modeled surfaces can be used to support and improve decision-making at multiple levels within many development programs including health, population, family planning, nutrition, and water and sanitation. The modeled surfaces can be used in their original 5 × 5 km pixel format, operationalized...Continue Reading

References

Sep 26, 2013·Journal of Experimental Botany·Ingo Burgert, Tobias Keplinger

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Citations

Apr 6, 2019·Studies in Family Planning·Ann K Blanc, Thoai D Ngo
Jul 13, 2019·BMJ Global Health·Cesar VictoraAluisio J D Barros
Apr 18, 2019·The American Journal of Tropical Medicine and Hygiene·Owen NkokaYi-Hua Chen
Jan 8, 2020·Gut·Camille BesombesArnaud Fontanet
Sep 11, 2020·International Journal of Health Geographics·Dana R ThomsonMarcia C Castro
Aug 26, 2020·BMJ Global Health·Peter M MachariaEmelda A Okiro

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