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

1. Using Global
Population Datasets
Clara R. Burgert 26 June 2012
MEASURE 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 data
Data Time Interval Spatial Coverage Source
Census ~10 years Census EA National Statistical
Offices
Census Microdata ~10 years Admin 1-3 IPUMS
DHS ~5 years Region & GPS MEASURE DHS
MIS ~3 years Region & GPS MEASURE DHS
Malariasurveys.org
AIS ~3 years Region & GPS MEASURE DHS
LSMS Irregular Admin 1 & some World Bank
GPS
MICS ~5 years Admin 1 UNICEF
Tatem 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
http://www.clas.ufl.edu/users/atatem/index_files/Data.htm

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 & Resources
For 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.com
AfriPop: www.clas.ufl.edu/users/atatem/index_files/AfriPop.htm
MAP: www.map.ox.ac.uk/
GADM: www.gadm.org/
gROADS: www.groads.com

12. Clara R. Burgert
Clara.burgert@icfi.com