Generating spatial demographic data for health in Africa
Generating spatial demographic data for health in Africa
Spatial data at various policy relevant administrative units are fundamental to designing, implementing and evaluating health programs and interventions throughout low- and middle-income countries. Many countries in sub-Saharan Africa, however, face unique challenges in developing and utilizing spatial data, potentially hampering the implementation of health Geographic Information Systems (GIS) infrastructure and research. In this chapter, we explore the use of spatial demographic data within the African context by firstly outlining the utilization of GIS and availability of spatial demographic data for Africa, followed by the evolution of methods and current approaches to estimating demographic data using ancillary data sources, as well as challenges unique to spatial demographic data. We then present five case studies highlighting innovative methods of production and use of freely available spatial demographic data to address policy needs and health challenges. Finally, we highlight emerging future directions in the production and improvement of spatial demographic data, followed by recommendations for enhancing spatial data infrastructures for health applications within low- and middle-income country settings.
Disease mapping, GIS, Health geography, Spatial data, Spatial data infrastructures
9-27
Ruktanonchai, Corrine
44e6fcd0-246b-480e-8940-9557dbb7c0cc
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Alegana, Victor
f5bd6ab7-459e-4122-984f-2bdb5f906d82
Matthews, Zoe
ebaee878-8cb8-415f-8aa1-3af2c3856f55
Makanga, Prestige Tatenda
6 May 2021
Ruktanonchai, Corrine
44e6fcd0-246b-480e-8940-9557dbb7c0cc
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Alegana, Victor
f5bd6ab7-459e-4122-984f-2bdb5f906d82
Matthews, Zoe
ebaee878-8cb8-415f-8aa1-3af2c3856f55
Makanga, Prestige Tatenda
Ruktanonchai, Corrine, Tatem, Andrew, Alegana, Victor and Matthews, Zoe
(2021)
Generating spatial demographic data for health in Africa.
In,
Makanga, Prestige Tatenda
(ed.)
Global Perspectives on Health Geography.
(Global Perspectives on Health Geography, Part F7866)
Springer Cham, .
(doi:10.1007/978-3-030-63471-1_2).
Record type:
Book Section
Abstract
Spatial data at various policy relevant administrative units are fundamental to designing, implementing and evaluating health programs and interventions throughout low- and middle-income countries. Many countries in sub-Saharan Africa, however, face unique challenges in developing and utilizing spatial data, potentially hampering the implementation of health Geographic Information Systems (GIS) infrastructure and research. In this chapter, we explore the use of spatial demographic data within the African context by firstly outlining the utilization of GIS and availability of spatial demographic data for Africa, followed by the evolution of methods and current approaches to estimating demographic data using ancillary data sources, as well as challenges unique to spatial demographic data. We then present five case studies highlighting innovative methods of production and use of freely available spatial demographic data to address policy needs and health challenges. Finally, we highlight emerging future directions in the production and improvement of spatial demographic data, followed by recommendations for enhancing spatial data infrastructures for health applications within low- and middle-income country settings.
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Published date: 6 May 2021
Keywords:
Disease mapping, GIS, Health geography, Spatial data, Spatial data infrastructures
Identifiers
Local EPrints ID: 511917
URI: http://eprints.soton.ac.uk/id/eprint/511917
ISSN: 2522-8005
PURE UUID: 32dc4e3f-012c-4c08-8e99-273081544064
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Date deposited: 11 Jun 2026 16:30
Last modified: 12 Jun 2026 01:45
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Contributors
Author:
Corrine Ruktanonchai
Editor:
Prestige Tatenda Makanga
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