Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change
Identifieur interne : 000952 ( Pmc/Curation ); précédent : 000951; suivant : 000953Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change
Auteurs : Molly E. Brown [États-Unis] ; Kathryn Grace [États-Unis] ; Gerald Shively [États-Unis, Norvège] ; Kiersten B. Johnson [États-Unis] ; Mark Carroll [États-Unis]Source :
- Population and Environment [ 0199-0039 ] ; 2014.
Abstract
Climate change and degradation of ecosystem services functioning may threaten the ability of current agricultural systems to keep up with demand for adequate and inexpensive food and for clean water, waste disposal and other broader ecosystem services. Human health is likely to be affected by changes occurring across multiple geographic and time scales. Impacts range from increasing transmissibility and the range of vectorborne diseases, such as malaria and yellow fever, to undermining nutrition through deleterious impacts on food production and concomitant increases in food prices. This paper uses case studies to describe methods that make use of satellite remote sensing and Demographic and Health Survey data to better understand individual-level human health and nutrition outcomes. By bringing these diverse datasets together, the connection between environmental change and human health outcomes can be described through new research and analysis.
Url:
DOI: 10.1007/s11111-013-0201-0
PubMed: 25132700
PubMed Central: 4131131
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Brown</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Biospheric Sciences Laboratory, Code 618, NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>Biospheric Sciences Laboratory, Code 618, NASA Goddard Space Flight Center, Greenbelt</wicri:cityArea></affiliation></author><author><name sortKey="Grace, Kathryn" sort="Grace, Kathryn" uniqKey="Grace K" first="Kathryn" last="Grace">Kathryn Grace</name><affiliation wicri:level="2"><nlm:aff id="Aff2">University of Utah, 260 S. Central Campus Dr., Rm. 270, Salt Lake City, UT 84112 USA</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Utah</region></placeName><wicri:cityArea>University of Utah, 260 S. Central Campus Dr., Rm. 270, Salt Lake City</wicri:cityArea></affiliation></author><author><name sortKey="Shively, Gerald" sort="Shively, Gerald" uniqKey="Shively G" first="Gerald" last="Shively">Gerald Shively</name><affiliation wicri:level="2"><nlm:aff id="Aff3">Purdue University, 403 West State St., West Lafayette, IN 47907 USA</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Indiana</region></placeName><wicri:cityArea>Purdue University, 403 West State St., West Lafayette</wicri:cityArea></affiliation><affiliation wicri:level="1"><nlm:aff id="Aff6">Department of Economics and Resource Management, Norwegian University of Life Sciences, Ås, 1432 Norway</nlm:aff><country xml:lang="fr">Norvège</country><wicri:regionArea>Department of Economics and Resource Management, Norwegian University of Life Sciences, Ås</wicri:regionArea></affiliation></author><author><name sortKey="Johnson, Kiersten B" sort="Johnson, Kiersten B" uniqKey="Johnson K" first="Kiersten B." last="Johnson">Kiersten B. Johnson</name><affiliation wicri:level="2"><nlm:aff id="Aff4">Westat, 1600 Research Boulevard, Rockville, MD 20850 USA</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>Westat, 1600 Research Boulevard, Rockville</wicri:cityArea></affiliation></author><author><name sortKey="Carroll, Mark" sort="Carroll, Mark" uniqKey="Carroll M" first="Mark" last="Carroll">Mark Carroll</name><affiliation wicri:level="2"><nlm:aff id="Aff5">Sigma Space Corp, NASA Goddard Space Flight Center (NASA GSFC), Greenbelt, MD 20771 USA</nlm:aff><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>Sigma Space Corp, NASA Goddard Space Flight Center (NASA GSFC), Greenbelt</wicri:cityArea></affiliation></author></analytic><series><title level="j">Population and Environment</title><idno type="ISSN">0199-0039</idno><idno type="eISSN">1573-7810</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Climate change and degradation of ecosystem services functioning may threaten the ability of current agricultural systems to keep up with demand for adequate and inexpensive food and for clean water, waste disposal and other broader ecosystem services. Human health is likely to be affected by changes occurring across multiple geographic and time scales. Impacts range from increasing transmissibility and the range of vectorborne diseases, such as malaria and yellow fever, to undermining nutrition through deleterious impacts on food production and concomitant increases in food prices. This paper uses case studies to describe methods that make use of satellite remote sensing and Demographic and Health Survey data to better understand individual-level human health and nutrition outcomes. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Popul Environ</journal-id><journal-id journal-id-type="iso-abbrev">Popul Environ</journal-id><journal-title-group><journal-title>Population and Environment</journal-title></journal-title-group><issn pub-type="ppub">0199-0039</issn><issn pub-type="epub">1573-7810</issn><publisher><publisher-name>Springer Netherlands</publisher-name><publisher-loc>Dordrecht</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">25132700</article-id><article-id pub-id-type="pmc">4131131</article-id><article-id pub-id-type="publisher-id">201</article-id><article-id pub-id-type="doi">10.1007/s11111-013-0201-0</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Using satellite remote sensing and household survey data to assess human health and nutrition response to environmental change</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Brown</surname><given-names>Molly E.</given-names></name><address><phone>+1-301-6146616</phone><email>molly.e.brown@nasa.gov</email><email>molly.brown@nasa.gov</email></address><xref ref-type="aff" rid="Aff1"></xref></contrib><contrib contrib-type="author"><name><surname>Grace</surname><given-names>Kathryn</given-names></name><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Shively</surname><given-names>Gerald</given-names></name><xref ref-type="aff" rid="Aff3"></xref><xref ref-type="aff" rid="Aff6"></xref></contrib><contrib contrib-type="author"><name><surname>Johnson</surname><given-names>Kiersten B.</given-names></name><xref ref-type="aff" rid="Aff4"></xref></contrib><contrib contrib-type="author"><name><surname>Carroll</surname><given-names>Mark</given-names></name><xref ref-type="aff" rid="Aff5"></xref></contrib><aff id="Aff1"><label></label>Biospheric Sciences Laboratory, Code 618, NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA</aff><aff id="Aff2"><label></label>University of Utah, 260 S. Central Campus Dr., Rm. 270, Salt Lake City, UT 84112 USA</aff><aff id="Aff3"><label></label>Purdue University, 403 West State St., West Lafayette, IN 47907 USA</aff><aff id="Aff4"><label></label>Westat, 1600 Research Boulevard, Rockville, MD 20850 USA</aff><aff id="Aff5"><label></label>Sigma Space Corp, NASA Goddard Space Flight Center (NASA GSFC), Greenbelt, MD 20771 USA</aff><aff id="Aff6"><label></label>Department of Economics and Resource Management, Norwegian University of Life Sciences, Ås, 1432 Norway</aff></contrib-group><pub-date pub-type="epub"><day>4</day><month>1</month><year>2014</year></pub-date><pub-date pub-type="pmc-release"><day>4</day><month>1</month><year>2014</year></pub-date><pub-date pub-type="ppub"><year>2014</year></pub-date><volume>36</volume><issue>1</issue><fpage>48</fpage><lpage>72</lpage><permissions><copyright-statement>© The Author(s) 2014</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.</license-p></license></permissions><abstract id="Abs1"><p>Climate change and degradation of ecosystem services functioning may threaten the ability of current agricultural systems to keep up with demand for adequate and inexpensive food and for clean water, waste disposal and other broader ecosystem services. Human health is likely to be affected by changes occurring across multiple geographic and time scales. Impacts range from increasing transmissibility and the range of vectorborne diseases, such as malaria and yellow fever, to undermining nutrition through deleterious impacts on food production and concomitant increases in food prices. This paper uses case studies to describe methods that make use of satellite remote sensing and Demographic and Health Survey data to better understand individual-level human health and nutrition outcomes. By bringing these diverse datasets together, the connection between environmental change and human health outcomes can be described through new research and analysis.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>DHS</kwd><kwd>NDVI</kwd><kwd>Environment</kwd><kwd>Health</kwd><kwd>Survey</kwd><kwd>Nutrition</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer Science+Business Media New York 2014</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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