Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches
Identifieur interne : 000050 ( Pmc/Curation ); précédent : 000049; suivant : 000051Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches
Auteurs : Sabrina Marx [Allemagne] ; Revati Phalkey [Allemagne] ; Clara B. Aranda-Jan [Royaume-Uni] ; Jörn Profe [Allemagne] ; Rainer Sauerborn [Allemagne] ; Bernhard Höfle [Allemagne]Source :
- BMC Public Health [ 1471-2458 ] ; 2014.
Abstract
Childhood malnutrition is a serious challenge in Sub-Saharan Africa (SSA) and a major underlying cause of death. It is the result of a dynamic and complex interaction between political, social, economic, environmental and other factors. As spatially oriented research has been established in health sciences in recent years, developments in Geographic Information Science (GIScience) provide beneficial tools to get an improved understanding of malnutrition.
In order to assess the current state of knowledge regarding the use of geoinformation analyses for exploring malnutrition in SSA, a systematic literature review of peer-reviewed literature is conducted using Scopus, ISI Web of Science and PubMed. As a supplement to the review, we carry on to investigate the establishment of web-based geoportals for providing freely accessible malnutrition geodata to a broad community. Based on these findings, we identify current limitations and discuss how new developments in GIScience might help to overcome impending barriers.
563 articles are identified from the searches, from which a total of nine articles and eight geoportals meet inclusion criteria. The review suggests that the spatial dimension of malnutrition is analyzed most often at the regional and national level using geostatistical analysis methods. Therefore, heterogeneous geographic information at different spatial scales and from multiple sources is combined by applying geoinformation analysis methods such as spatial interpolation, aggregation and downscaling techniques. Geocoded malnutrition data from the Demographic and Health Survey Program are the most common information source to quantify the prevalence of malnutrition on a local scale and are frequently combined with regional data on climate, population, agriculture and/or infrastructure. Only aggregated geoinformation about malnutrition prevalence is freely accessible, mostly displayed via web map visualizations or downloadable map images. The lack of detailed geographic data at household and local level is a major limitation for an in-depth assessment of malnutrition and links to potential impact factors.
We propose that the combination of malnutrition-related studies with most recent GIScience developments such as crowd-sourced geodata collection, (web-based) interoperable spatial health data infrastructures as well as (dynamic) information fusion approaches are beneficial to deepen the understanding of this complex phenomenon.
Url:
DOI: 10.1186/1471-2458-14-1189
PubMed: 25409548
PubMed Central: 4258026
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Aranda-Jan</name><affiliation wicri:level="4"><nlm:aff id="Aff3">Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS UK</nlm:aff><orgName type="university">Université de Cambridge</orgName><country>Royaume-Uni</country><placeName><settlement type="city">Cambridge</settlement><region type="country">Angleterre</region><region type="région" nuts="1">Angleterre de l'Est</region></placeName></affiliation></author><author><name sortKey="Profe, Jorn" sort="Profe, Jorn" uniqKey="Profe J" first="Jörn" last="Profe">Jörn Profe</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institute of Geography, Heidelberg University, Berliner Str. 48, 69120 Heidelberg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Geography, Heidelberg University, Berliner Str. 48, 69120 Heidelberg</wicri:regionArea></affiliation></author><author><name sortKey="Sauerborn, Rainer" sort="Sauerborn, Rainer" uniqKey="Sauerborn R" first="Rainer" last="Sauerborn">Rainer Sauerborn</name><affiliation wicri:level="1"><nlm:aff id="Aff2">Institute of Public Health, Heidelberg University, Im Neuenheimer Feld 324, 69120 Heidelberg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Public Health, Heidelberg University, Im Neuenheimer Feld 324, 69120 Heidelberg</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff4">Heidelberg Center for the Environment, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Heidelberg Center for the Environment, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg</wicri:regionArea></affiliation></author><author><name sortKey="Hofle, Bernhard" sort="Hofle, Bernhard" uniqKey="Hofle B" first="Bernhard" last="Höfle">Bernhard Höfle</name><affiliation wicri:level="1"><nlm:aff id="Aff1">Institute of Geography, Heidelberg University, Berliner Str. 48, 69120 Heidelberg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Geography, Heidelberg University, Berliner Str. 48, 69120 Heidelberg</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff4">Heidelberg Center for the Environment, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany</nlm:aff><country xml:lang="fr">Allemagne</country><wicri:regionArea>Heidelberg Center for the Environment, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg</wicri:regionArea></affiliation></author></analytic><series><title level="j">BMC Public Health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Childhood malnutrition is a serious challenge in Sub-Saharan Africa (SSA) and a major underlying cause of death. It is the result of a dynamic and complex interaction between political, social, economic, environmental and other factors. As spatially oriented research has been established in health sciences in recent years, developments in Geographic Information Science (GIScience) provide beneficial tools to get an improved understanding of malnutrition.</p></sec><sec><title>Methods</title><p>In order to assess the current state of knowledge regarding the use of geoinformation analyses for exploring malnutrition in SSA, a systematic literature review of peer-reviewed literature is conducted using Scopus, ISI Web of Science and PubMed. As a supplement to the review, we carry on to investigate the establishment of web-based geoportals for providing freely accessible malnutrition geodata to a broad community. Based on these findings, we identify current limitations and discuss how new developments in GIScience might help to overcome impending barriers.</p></sec><sec><title>Results</title><p>563 articles are identified from the searches, from which a total of nine articles and eight geoportals meet inclusion criteria. The review suggests that the spatial dimension of malnutrition is analyzed most often at the regional and national level using geostatistical analysis methods. Therefore, heterogeneous geographic information at different spatial scales and from multiple sources is combined by applying geoinformation analysis methods such as spatial interpolation, aggregation and downscaling techniques. Geocoded malnutrition data from the Demographic and Health Survey Program are the most common information source to quantify the prevalence of malnutrition on a local scale and are frequently combined with regional data on climate, population, agriculture and/or infrastructure. Only aggregated geoinformation about malnutrition prevalence is freely accessible, mostly displayed via web map visualizations or downloadable map images. The lack of detailed geographic data at household and local level is a major limitation for an in-depth assessment of malnutrition and links to potential impact factors.</p></sec><sec><title>Conclusions</title><p>We propose that the combination of malnutrition-related studies with most recent GIScience developments such as crowd-sourced geodata collection, (web-based) interoperable spatial health data infrastructures as well as (dynamic) information fusion approaches are beneficial to deepen the understanding of this complex phenomenon.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Richardson, Db" uniqKey="Richardson D">DB Richardson</name></author><author><name sortKey="Volkow, Nd" uniqKey="Volkow N">ND Volkow</name></author><author><name sortKey="Kwan, M" uniqKey="Kwan M">M Kwan</name></author><author><name sortKey="Kaplan, Rm" uniqKey="Kaplan R">RM Kaplan</name></author><author><name sortKey="Goodchild, Mf" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Public Health</journal-id><journal-id journal-id-type="iso-abbrev">BMC Public Health</journal-id><journal-title-group><journal-title>BMC Public Health</journal-title></journal-title-group><issn pub-type="epub">1471-2458</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25409548</article-id><article-id pub-id-type="pmc">4258026</article-id><article-id pub-id-type="publisher-id">7335</article-id><article-id pub-id-type="doi">10.1186/1471-2458-14-1189</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Marx</surname><given-names>Sabrina</given-names></name><address><email>sabrina.marx@geog.uni-heidelberg.de</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Phalkey</surname><given-names>Revati</given-names></name><address><email>rphalkey@gmail.com</email></address><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Aranda-Jan</surname><given-names>Clara B</given-names></name><address><email>cba26@cam.ac.uk</email></address><xref ref-type="aff" rid="Aff3"></xref></contrib><contrib contrib-type="author"><name><surname>Profe</surname><given-names>Jörn</given-names></name><address><email>profe@uni-bremen.de</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Sauerborn</surname><given-names>Rainer</given-names></name><address><email>Rainer.Sauerborn@urz.uni-heidelberg.de</email></address><xref ref-type="aff" rid="Aff2"></xref><xref ref-type="aff" rid="Aff4"></xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Höfle</surname><given-names>Bernhard</given-names></name><address><email>hoefle@uni-heidelberg.de</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff4"></xref></contrib><aff id="Aff1"><label></label>Institute of Geography, Heidelberg University, Berliner Str. 48, 69120 Heidelberg, Germany</aff><aff id="Aff2"><label></label>Institute of Public Health, Heidelberg University, Im Neuenheimer Feld 324, 69120 Heidelberg, Germany</aff><aff id="Aff3"><label></label>Institute for Manufacturing, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS UK</aff><aff id="Aff4"><label></label>Heidelberg Center for the Environment, Heidelberg University, Im Neuenheimer Feld 229, 69120 Heidelberg, Germany</aff></contrib-group><pub-date pub-type="epub"><day>20</day><month>11</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>20</day><month>11</month><year>2014</year></pub-date><pub-date pub-type="collection"><year>2014</year></pub-date><volume>14</volume><elocation-id>1189</elocation-id><history><date date-type="received"><day>2</day><month>5</month><year>2014</year></date><date date-type="accepted"><day>6</day><month>11</month><year>2014</year></date></history><permissions><copyright-statement>© Marx et al.; licensee BioMed Central Ltd. 2014</copyright-statement><license license-type="open-access"><license-p>This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">http://creativecommons.org/licenses/by/4.0</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p>Childhood malnutrition is a serious challenge in Sub-Saharan Africa (SSA) and a major underlying cause of death. It is the result of a dynamic and complex interaction between political, social, economic, environmental and other factors. As spatially oriented research has been established in health sciences in recent years, developments in Geographic Information Science (GIScience) provide beneficial tools to get an improved understanding of malnutrition.</p></sec><sec><title>Methods</title><p>In order to assess the current state of knowledge regarding the use of geoinformation analyses for exploring malnutrition in SSA, a systematic literature review of peer-reviewed literature is conducted using Scopus, ISI Web of Science and PubMed. As a supplement to the review, we carry on to investigate the establishment of web-based geoportals for providing freely accessible malnutrition geodata to a broad community. Based on these findings, we identify current limitations and discuss how new developments in GIScience might help to overcome impending barriers.</p></sec><sec><title>Results</title><p>563 articles are identified from the searches, from which a total of nine articles and eight geoportals meet inclusion criteria. The review suggests that the spatial dimension of malnutrition is analyzed most often at the regional and national level using geostatistical analysis methods. Therefore, heterogeneous geographic information at different spatial scales and from multiple sources is combined by applying geoinformation analysis methods such as spatial interpolation, aggregation and downscaling techniques. Geocoded malnutrition data from the Demographic and Health Survey Program are the most common information source to quantify the prevalence of malnutrition on a local scale and are frequently combined with regional data on climate, population, agriculture and/or infrastructure. Only aggregated geoinformation about malnutrition prevalence is freely accessible, mostly displayed via web map visualizations or downloadable map images. The lack of detailed geographic data at household and local level is a major limitation for an in-depth assessment of malnutrition and links to potential impact factors.</p></sec><sec><title>Conclusions</title><p>We propose that the combination of malnutrition-related studies with most recent GIScience developments such as crowd-sourced geodata collection, (web-based) interoperable spatial health data infrastructures as well as (dynamic) information fusion approaches are beneficial to deepen the understanding of this complex phenomenon.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Geographic Information System (GIS)</kwd><kwd>Spatial analysis</kwd><kwd>Web services</kwd><kwd>Malnutrition</kwd><kwd>Sub-Saharan Africa</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2014</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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