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Using Global Population Datasets


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Presented by Clara Burgert, MEASURE DHS, at the June 2012 MEASURE GIS Working Group meeting.

Presented by Clara Burgert, MEASURE DHS, at the June 2012 MEASURE GIS Working Group meeting.

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  • 1. Using GlobalPopulation DatasetsClara R. Burgert 26 June 2012MEASURE DHS MEASURE GIS Working Group
  • 2. Context The spatial modeling and mapping of diseases is increasingly being undertaken to derive health metrics, guide intervention strategies, and advance epidemiological understanding. Tatem et al. 2011. Population Health Metrics.
  • 3. To do this we need…
  • 4. Disclaimer • Some but not all possible data sources will be presented. • Focus will be on “Global” datasets not on country specific data.
  • 5. Types of data needed: Administrative Administrative Census Attributes Boundaries by year DHS & Survey Sample, Survey Boundaries by Attributes survey/sample Standardized National Boundaries & Water Bodies, Land Natural Coastlines Cover, Slope, Altitude (polygons) Populated Urban Extents, Settlement Areas locations Roads (gRoads)Tatem et al. 2012
  • 6. Sources of spatial demographic dataData Time Interval Spatial Coverage SourceCensus ~10 years Census EA National Statistical OfficesCensus Microdata ~10 years Admin 1-3 IPUMSDHS ~5 years Region & GPS MEASURE DHSMIS ~3 years Region & GPS MEASURE DHS Malariasurveys.orgAIS ~3 years Region & GPS MEASURE DHSLSMS Irregular Admin 1 & some World Bank GPSMICS ~5 years Admin 1 UNICEFTatem et al. 2012
  • 7. MEASURE DHS project countries
  • 8. Types of Data needed: Population Dataset Year Spatial resolution LandScan 2008 30 arcseconds (~1 km) Gridded Population of 19990/1995/2000/ 2.5 arcminutes (~5 km) the World (GPW) 2005/2010/2015 Global Rural Urban 1990/1995/2000 30 arcseconds (~1km) Mapping Project (GRUMP) UNEP Global Population 2000 2.5 arcminutes (~5 km) Databases AfriPop & AsiaPop <2000 (~100 m)Tatem et al. 2011
  • 9. AfriPop & AsiaPop • Uses: – Multiple data sources • Settlements layers • Satellite data • Urban extents • Census – In country knowledge – Land cover • Reallocation of census data through basic modeling techniques
  • 10. Application: Disease Burden • Several studies have used population datasets & survey data to estimate populations at risk & risk modeling • Examples: – Malaria (Malaria Atlas Project & others) – Hookworm – Helminths – Dengue
  • 11. Sources & ResourcesFor more information:Tatem et al. Mapping populations at risk: improving demographic data for infectious disease modeling and metric derivation. Population Health Metrics. 2012.Tatem et al. The effects of spatial population dataset choice on estimates of populations at risk of disease. Population Health Metrics. 2011.Some websites:MEASURE DHS: www.measuredhs.comAfriPop:
  • 12. Clara R.