Perspectives on Applied Spatial Analysis to Animal Health
Identifieur interne : 000297 ( Istex/Corpus ); précédent : 000296; suivant : 000298Perspectives on Applied Spatial Analysis to Animal Health
Auteurs : Vincent Herbreteau ; Florent Demoraes ; Jean-Pierre Hugot ; Pattamaporn Kittayapong ; Gérard Salem ; Marc Souris ; Jean-Paul GonzalezSource :
- Annals of the New York Academy of Sciences [ 0077-8923 ] ; 2006-10.
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- KwdEn :
Abstract
Abstract: Geographic information systems (GIS) and remote sensing have been increasingly used in ecology and epidemiology, providing a spatial approach for animal health issues. Recent development of earth environmental satellites—i.e., their growing number, improving sensor resolutions and capabilities—has offered new opportunities to delineate possible habitats and understand animals and associated parasites in their environment, by identifying the nature and structure of land use, hydrological network, soil hydromorphy, and human settlements. Integrated into GIS, remotely sensed and other geo‐referenced data allow both spatial and temporal analyses of animal ecology and health. However, a review of their applications has showed the poor quality of data sources and processing used, revealing limitations between theory and practical implementations. As an example, the assessment of the expected distribution of Bandicoot rats, main agricultural pest and vector of zoonoses in Phrae province (North Thailand), illustrates a rational use of spatial analysis, with the choice of relevant data, scales, and processing. Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. The biotopes of Bandicota indica and Bandicota savilei are delimited, providing a major source of knowledge for rodent and human health analyses.
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DOI: 10.1196/annals.1373.002
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epidemiology, providing a spatial approach for animal health issues. Recent development of earth environmental satellites—i.e., their growing number, improving sensor resolutions and capabilities—has offered new opportunities to delineate possible habitats and understand animals and associated parasites in their environment, by identifying the nature and structure of land use, hydrological network, soil hydromorphy, and human settlements. Integrated into GIS, remotely sensed and other geo‐referenced data allow both spatial and temporal analyses of animal ecology and health. However, a review of their applications has showed the poor quality of data sources and processing used, revealing limitations between theory and practical implementations. As an example, the assessment of the expected distribution of Bandicoot rats, main agricultural pest and vector of zoonoses in Phrae province (North Thailand), illustrates a rational use of spatial analysis, with the choice of relevant data, scales, and processing. Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. The biotopes of Bandicota indica and Bandicota savilei are delimited, providing a major source of knowledge for rodent and human health analyses.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>VINCENT HERBRETEAU</name><affiliations><json:string>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</json:string><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string></affiliations></json:item><json:item><name>FLORENT DEMORAES</name><affiliations><json:string>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</json:string><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string></affiliations></json:item><json:item><name>JEAN‐PIERRE HUGOT</name><affiliations><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string><json:string>Muséum National d'Histoire Naturelle de Paris, Département Systématique et Évolution, UMR 5202 Origin, Structure and Evolution of Biodiversity, 75231 Paris Cedex 05, France</json:string></affiliations></json:item><json:item><name>PATTAMAPORN KITTAYAPONG</name><affiliations><json:string>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</json:string></affiliations></json:item><json:item><name>GÉRARD SALEM</name><affiliations><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string><json:string>Laboratoire Espace, Santé, Territoire, Université Paris‐X, Nanterre, 92000 Nanterre, France</json:string></affiliations></json:item><json:item><name>MARC SOURIS</name><affiliations><json:string>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</json:string><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string></affiliations></json:item><json:item><name>JEAN‐PAUL GONZALEZ</name><affiliations><json:string>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>geographic information systems</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>remote sensing</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>spatial analysis</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>rodents</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>biogeography</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Bandicoot</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Bandicota indica</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Bandicota savilei</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>NDVI</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>SAVI</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>ASTER</value></json:item></subject><articleId><json:string>NYAS2</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Abstract: Geographic information systems (GIS) and remote sensing have been increasingly used in ecology and epidemiology, providing a spatial approach for animal health issues. 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Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. 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Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. The biotopes of Bandicota indica and Bandicota savilei are delimited, providing a major source of knowledge for rodent and human health analyses.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>keywords</head><item><term>geographic information systems</term></item><item><term>remote sensing</term></item><item><term>spatial analysis</term></item><item><term>rodents</term></item><item><term>biogeography</term></item><item><term>Bandicoot</term></item><item><term>Bandicota indica</term></item><item><term>Bandicota savilei</term></item><item><term>NDVI</term></item><item><term>SAVI</term></item><item><term>ASTER</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2006-10">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/B8E303C1A10E7C751B24ADD111F951E5A5CBFA3D/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Inc</publisherName><publisherLoc>Malden, USA</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1749-6632</doi><issn type="print">0077-8923</issn><issn type="electronic">1749-6632</issn><idGroup><id type="product" value="NYAS"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="ANNALS OF NEW YORK ACADEMY SCIENCES">Annals of the New York Academy of Sciences</title></titleGroup></publicationMeta><publicationMeta level="part" position="10001"><doi origin="wiley">10.1111/nyas.2006.1081.issue-1</doi><titleGroup><title type="main">Impact of Emerging Zoonotic Diseases on Animal Health: 8th Biennial Conference of the Society for Tropical Veterinary Medicine</title></titleGroup><numberingGroup><numbering type="journalVolume" number="1081">1081</numbering><numbering type="journalIssue">1</numbering></numberingGroup><coverDate startDate="2006-10">October 2006</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="4" status="forIssue"><doi origin="wiley">10.1196/annals.1373.002</doi><idGroup><id type="unit" value="NYAS2"></id></idGroup><countGroup><count type="pageTotal" number="13"></count></countGroup><titleGroup><title type="tocHeading1">Part I. Trends in Emerging Zoonoses</title></titleGroup><eventGroup><event type="firstOnline" date="2006-11-17"></event><event type="publishedOnlineFinalForm" date="2006-11-17"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText" date="2010-04-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:4.0.1" date="2014-03-19"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-14"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="17">17</numbering><numbering type="pageLast" number="29">29</numbering></numberingGroup><correspondenceTo>Address for correspondence: Vincent Herbreteau, PhD candidate in Health Geography, Master of Engineering in GIS and Remote Sensing, IRD‐UT178, Center for Vectors and Vector‐borne Diseases, Faculty of Sciences, Mahidol University, Thanon Rama VI, Phyathai, Bangkok 10400, Thailand. Voice: 66‐24410227; fax: 66‐24410227.
e‐mail: <email>Vincent.Herbreteau@ird.fr</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:NYAS.NYAS2.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="8"></count><count type="tableTotal" number="0"></count><count type="formulaTotal" number="2"></count><count type="referenceTotal" number="24"></count><count type="linksCrossRef" number="33"></count></countGroup><titleGroup><title type="main">Perspectives on Applied Spatial Analysis to Animal Health</title><title type="subtitle">A Case of Rodents in Thailand</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1 #a2"><personName><givenNames>VINCENT</givenNames><familyName>HERBRETEAU</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1 #a2"><personName><givenNames>FLORENT</givenNames><familyName>DEMORAES</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a2 #a3"><personName><givenNames>JEAN‐PIERRE</givenNames><familyName>HUGOT</familyName></personName></creator><creator creatorRole="author" xml:id="cr4" affiliationRef="#a1"><personName><givenNames>PATTAMAPORN</givenNames><familyName>KITTAYAPONG</familyName></personName></creator><creator creatorRole="author" xml:id="cr5" affiliationRef="#a2 #a4"><personName><givenNames>GÉRARD</givenNames><familyName>SALEM</familyName></personName></creator><creator creatorRole="author" xml:id="cr6" affiliationRef="#a1 #a2"><personName><givenNames>MARC</givenNames><familyName>SOURIS</familyName></personName></creator><creator creatorRole="author" xml:id="cr7" affiliationRef="#a2"><personName><givenNames>JEAN‐PAUL</givenNames><familyName>GONZALEZ</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="TH"><unparsedAffiliation>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="TH"><unparsedAffiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="FR"><unparsedAffiliation>Muséum National d'Histoire Naturelle de Paris, Département Systématique et Évolution, UMR 5202 Origin, Structure and Evolution of Biodiversity, 75231 Paris Cedex 05, France</unparsedAffiliation></affiliation><affiliation xml:id="a4" countryCode="FR"><unparsedAffiliation>Laboratoire Espace, Santé, Territoire, Université Paris‐X, Nanterre, 92000 Nanterre, France</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">geographic information systems</keyword><keyword xml:id="k2">remote sensing</keyword><keyword xml:id="k3">spatial analysis</keyword><keyword xml:id="k4">rodents</keyword><keyword xml:id="k5">biogeography</keyword><keyword xml:id="k6">Bandicoot</keyword><keyword xml:id="k7"><i>Bandicota indica</i></keyword><keyword xml:id="k8"><i>Bandicota savilei</i></keyword><keyword xml:id="k9">NDVI</keyword><keyword xml:id="k10">SAVI</keyword><keyword xml:id="k11">ASTER</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b><sc>Abstract: </sc></b> <b>Geographic information systems (GIS) and remote sensing have been increasingly used in ecology and epidemiology, providing a spatial approach for animal health issues. Recent development of earth environmental satellites—i.e., their growing number, improving sensor resolutions and capabilities—has offered new opportunities to delineate possible habitats and understand animals and associated parasites in their environment, by identifying the nature and structure of land use, hydrological network, soil hydromorphy, and human settlements. Integrated into GIS, remotely sensed and other geo‐referenced data allow both spatial and temporal analyses of animal ecology and health. However, a review of their applications has showed the poor quality of data sources and processing used, revealing limitations between theory and practical implementations. As an example, the assessment of the expected distribution of Bandicoot rats, main agricultural pest and vector of zoonoses in Phrae province (North Thailand), illustrates a rational use of spatial analysis, with the choice of relevant data, scales, and processing. Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. The biotopes of <i>Bandicota indica</i> and <i>Bandicota savilei</i> are delimited, providing a major source of knowledge for rodent and human health analyses.</b> </p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Perspectives on Applied Spatial Analysis to Animal Health</title><subTitle>A Case of Rodents in Thailand</subTitle></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Perspectives on Applied Spatial Analysis to Animal Health</title></titleInfo><name type="personal"><namePart type="given">VINCENT</namePart><namePart type="family">HERBRETEAU</namePart><affiliation>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</affiliation><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">FLORENT</namePart><namePart type="family">DEMORAES</namePart><affiliation>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</affiliation><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">JEAN‐PIERRE</namePart><namePart type="family">HUGOT</namePart><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><affiliation>Muséum National d'Histoire Naturelle de Paris, Département Systématique et Évolution, UMR 5202 Origin, Structure and Evolution of Biodiversity, 75231 Paris Cedex 05, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">PATTAMAPORN</namePart><namePart type="family">KITTAYAPONG</namePart><affiliation>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">GÉRARD</namePart><namePart type="family">SALEM</namePart><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><affiliation>Laboratoire Espace, Santé, Territoire, Université Paris‐X, Nanterre, 92000 Nanterre, France</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">MARC</namePart><namePart type="family">SOURIS</namePart><affiliation>Center for Vectors and Vector‐borne Diseases (CVVD), Faculty of Sciences, Mahidol University, Bangkok 10400, Thailand</affiliation><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">JEAN‐PAUL</namePart><namePart type="family">GONZALEZ</namePart><affiliation>Institut de Recherche pour le Développement (IRD), Research Unit UT178, RCEVD/CVD, Mahidol University, Nakhon Pathom 73170, Thailand</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Inc</publisher><place><placeTerm type="text">Malden, USA</placeTerm></place><dateIssued encoding="w3cdtf">2006-10</dateIssued><copyrightDate encoding="w3cdtf">2006</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">8</extent><extent unit="formulas">2</extent><extent unit="references">24</extent></physicalDescription><abstract>Abstract: Geographic information systems (GIS) and remote sensing have been increasingly used in ecology and epidemiology, providing a spatial approach for animal health issues. Recent development of earth environmental satellites—i.e., their growing number, improving sensor resolutions and capabilities—has offered new opportunities to delineate possible habitats and understand animals and associated parasites in their environment, by identifying the nature and structure of land use, hydrological network, soil hydromorphy, and human settlements. Integrated into GIS, remotely sensed and other geo‐referenced data allow both spatial and temporal analyses of animal ecology and health. However, a review of their applications has showed the poor quality of data sources and processing used, revealing limitations between theory and practical implementations. As an example, the assessment of the expected distribution of Bandicoot rats, main agricultural pest and vector of zoonoses in Phrae province (North Thailand), illustrates a rational use of spatial analysis, with the choice of relevant data, scales, and processing. Vegetation indices are computed on a TERRA ASTER image and further classified using elevation data. The biotopes of Bandicota indica and Bandicota savilei are delimited, providing a major source of knowledge for rodent and human health analyses.</abstract><subject lang="en"><genre>keywords</genre><topic>geographic information systems</topic><topic>remote sensing</topic><topic>spatial analysis</topic><topic>rodents</topic><topic>biogeography</topic><topic>Bandicoot</topic><topic>Bandicota indica</topic><topic>Bandicota savilei</topic><topic>NDVI</topic><topic>SAVI</topic><topic>ASTER</topic></subject><relatedItem type="host"><titleInfo><title>Annals of the New York Academy of Sciences</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0077-8923</identifier><identifier type="eISSN">1749-6632</identifier><identifier type="DOI">10.1111/(ISSN)1749-6632</identifier><identifier type="PublisherID">NYAS</identifier><part><date>2006</date><detail type="title"><title>Impact of Emerging Zoonotic Diseases on Animal Health: 8th Biennial Conference of the Society for Tropical Veterinary Medicine</title></detail><detail type="volume"><caption>vol.</caption><number>1081</number></detail><detail type="issue"><caption>no.</caption><number>1</number></detail><extent unit="pages"><start>17</start><end>29</end><total>13</total></extent></part></relatedItem><identifier type="istex">B8E303C1A10E7C751B24ADD111F951E5A5CBFA3D</identifier><identifier type="DOI">10.1196/annals.1373.002</identifier><identifier type="ArticleID">NYAS2</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Inc</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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