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Population Distribution, Settlement Patterns and Accessibility across Africa in 2010

The spatial distribution of populations and settlements across a country and their interconnectivity and accessibility from urban areas are important for delivering healthcare, distributing resources and economic development. However, existing spatially explicit population data across Africa are gen...

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Detalles Bibliográficos
Autores principales: Linard, Catherine, Gilbert, Marius, Snow, Robert W., Noor, Abdisalan M., Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283664/
https://www.ncbi.nlm.nih.gov/pubmed/22363717
http://dx.doi.org/10.1371/journal.pone.0031743
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author Linard, Catherine
Gilbert, Marius
Snow, Robert W.
Noor, Abdisalan M.
Tatem, Andrew J.
author_facet Linard, Catherine
Gilbert, Marius
Snow, Robert W.
Noor, Abdisalan M.
Tatem, Andrew J.
author_sort Linard, Catherine
collection PubMed
description The spatial distribution of populations and settlements across a country and their interconnectivity and accessibility from urban areas are important for delivering healthcare, distributing resources and economic development. However, existing spatially explicit population data across Africa are generally based on outdated, low resolution input demographic data, and provide insufficient detail to quantify rural settlement patterns and, thus, accurately measure population concentration and accessibility. Here we outline approaches to developing a new high resolution population distribution dataset for Africa and analyse rural accessibility to population centers. Contemporary population count data were combined with detailed satellite-derived settlement extents to map population distributions across Africa at a finer spatial resolution than ever before. Substantial heterogeneity in settlement patterns, population concentration and spatial accessibility to major population centres is exhibited across the continent. In Africa, 90% of the population is concentrated in less than 21% of the land surface and the average per-person travel time to settlements of more than 50,000 inhabitants is around 3.5 hours, with Central and East Africa displaying the longest average travel times. The analyses highlight large inequities in access, the isolation of many rural populations and the challenges that exist between countries and regions in providing access to services. The datasets presented are freely available as part of the AfriPop project, providing an evidence base for guiding strategic decisions.
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spelling pubmed-32836642012-02-23 Population Distribution, Settlement Patterns and Accessibility across Africa in 2010 Linard, Catherine Gilbert, Marius Snow, Robert W. Noor, Abdisalan M. Tatem, Andrew J. PLoS One Research Article The spatial distribution of populations and settlements across a country and their interconnectivity and accessibility from urban areas are important for delivering healthcare, distributing resources and economic development. However, existing spatially explicit population data across Africa are generally based on outdated, low resolution input demographic data, and provide insufficient detail to quantify rural settlement patterns and, thus, accurately measure population concentration and accessibility. Here we outline approaches to developing a new high resolution population distribution dataset for Africa and analyse rural accessibility to population centers. Contemporary population count data were combined with detailed satellite-derived settlement extents to map population distributions across Africa at a finer spatial resolution than ever before. Substantial heterogeneity in settlement patterns, population concentration and spatial accessibility to major population centres is exhibited across the continent. In Africa, 90% of the population is concentrated in less than 21% of the land surface and the average per-person travel time to settlements of more than 50,000 inhabitants is around 3.5 hours, with Central and East Africa displaying the longest average travel times. The analyses highlight large inequities in access, the isolation of many rural populations and the challenges that exist between countries and regions in providing access to services. The datasets presented are freely available as part of the AfriPop project, providing an evidence base for guiding strategic decisions. Public Library of Science 2012-02-21 /pmc/articles/PMC3283664/ /pubmed/22363717 http://dx.doi.org/10.1371/journal.pone.0031743 Text en Linard et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Linard, Catherine
Gilbert, Marius
Snow, Robert W.
Noor, Abdisalan M.
Tatem, Andrew J.
Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title_full Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title_fullStr Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title_full_unstemmed Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title_short Population Distribution, Settlement Patterns and Accessibility across Africa in 2010
title_sort population distribution, settlement patterns and accessibility across africa in 2010
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283664/
https://www.ncbi.nlm.nih.gov/pubmed/22363717
http://dx.doi.org/10.1371/journal.pone.0031743
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