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Population distribution mapping: the AfriPop dataset
Data from Conflict-Affected Regions: Filling-in the BlanksBrussels, 9-10 June 2011
Catherine Linard
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AfriPop aims
Produce a population distribution dataset:• Spatially-detailed (100 m resolution)• For the whole of Africa• Easily updatable• Freely available: www.afripop.org
Broader objectives:• Support cartographic-style derivations of population
health metrics Population at risk of malaria estimations
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Methods1. Assemble a database of detailed, contemporary
census data
Year of population data Spatial resolution of census units
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2. Fine scale, accurate mapping of settlement extents
Landsat Enhanced Thematic Mapper (ETM)
Tatem et al (2004/5) Rem Sens Env
Methods
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3. Population redistribution according to land cover
Population count per admin unit
Land cover
Population map
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Tatem et al (2007) PLoS ONE, Linard et al (2010) GeoJournal / Int J Health Geog
AfriPop 2010
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AfriPop GRUMP LandScan
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How such population distribution maps can be used in emergency situations?
Provide spatially-detailed pre-emergency demographic data
Provide the essential denominator for population health metrics (beyond admin. unit level)
Allow spatially-detailed estimations of populations at risk
Can be used to organise intervention coverage/relief
Age/gender structure will be mapped soon
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Questions
• How do we fill the spatial and temporal data gaps?
• How do we keep up with demographic changes?• What spatial scales are important? How do we
match that of the health data?• Can we incorporate human movements?• How can we quantify uncertainty?
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www.afripop.org