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The DHS Program's Modeled Surfaces Spatial Datasets.

Clara R Burgert-Brucker, Trinadh Dontamsetti, Peter W Gething

    Studies in Family Planning
    |February 28, 2018
    PubMed
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    Publicly available spatial datasets map key development indicators using standardized geostatistical methods. These high-resolution maps support decision-making in global health and development programs.

    Area of Science:

    • Geospatial analysis
    • Development indicators
    • Public health mapping

    Background:

    • Demographic and Health Surveys (DHS) Program collects population-based survey data.
    • Standardized geostatistical modeling is crucial for creating reliable spatial datasets.
    • Publicly accessible data enhances transparency and utility in development research.

    Purpose of the Study:

    • To produce and share spatially interpolated map surface datasets for key development indicators.
    • To provide standardized geostatistical modeling methods for creating these maps.
    • To make these valuable datasets accessible for global health and development decision-making.

    Main Methods:

    • Utilizing Bayesian model-based geostatistical (MBG) approaches.
    • Employing standardized geostatistical modeling methods for spatial interpolation.

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  • Integrating DHS Program geo-referenced data with relevant spatial covariate data.

    • Main Results:

    • Generated 5x5 km pixel raster grids for point estimates and uncertainty surfaces for key indicators.
    • Developed comprehensive data packages including validation statistics and model diagnostics.
    • Established a public repository for easy download of spatial data: spatialdata.dhsprogram.com.

    Conclusions:

    • Spatially modeled surfaces offer valuable insights for multi-level decision-making in various development sectors.
    • The generated datasets can be adapted for different geographic scales and integrated with other data sources.
    • Publicly sharing these geostatistical products facilitates improved planning and resource allocation in health and development initiatives.