Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa
Identifieur interne : 000F35 ( Istex/Corpus ); précédent : 000F34; suivant : 000F36Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa
Auteurs : J. B. Malone ; J. M. Yilma ; J. C. Mccarroll ; B. Erko ; S. Mukaratirwa ; Xinyu ZhouSource :
- Acta Tropica [ 0001-706X ] ; 2001.
English descriptors
- KwdEn :
Abstract
Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (Tmax) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with Schistosoma mansoni distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and Tmax 20–33°C in the annual composite map, NDVI 125–145 and Tmax 18–29°C for the wet season map, and NDVI 125–140 and Tmax 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the S. mansoni–Biomphalaria pfeifferi system. Results suggest that Global 1-km NDVI and Tmax, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of <27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of <−1300 mm, the model accurately represented the regional distribution of the S. mansoni–B. pfeifferi system in the East Africa extrapolation area.
Url:
DOI: 10.1016/S0001-706X(01)00103-6
Links to Exploration step
ISTEX:F52ABAA158F02C6D02DF6911D58BA5BF9673E943Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title><author><name sortKey="Malone, J B" sort="Malone, J B" uniqKey="Malone J" first="J. B." last="Malone">J. B. Malone</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: malone@vetmed.lsu.edu</mods:affiliation></affiliation></author><author><name sortKey="Yilma, J M" sort="Yilma, J M" uniqKey="Yilma J" first="J. M." last="Yilma">J. M. Yilma</name><affiliation><mods:affiliation>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</mods:affiliation></affiliation></author><author><name sortKey="Mccarroll, J C" sort="Mccarroll, J C" uniqKey="Mccarroll J" first="J. C." last="Mccarroll">J. C. Mccarroll</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation></author><author><name sortKey="Erko, B" sort="Erko, B" uniqKey="Erko B" first="B." last="Erko">B. Erko</name><affiliation><mods:affiliation>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</mods:affiliation></affiliation></author><author><name sortKey="Mukaratirwa, S" sort="Mukaratirwa, S" uniqKey="Mukaratirwa S" first="S." last="Mukaratirwa">S. Mukaratirwa</name><affiliation><mods:affiliation>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</mods:affiliation></affiliation></author><author><name sortKey="Zhou, Xinyu" sort="Zhou, Xinyu" uniqKey="Zhou X" first="Xinyu" last="Zhou">Xinyu Zhou</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:F52ABAA158F02C6D02DF6911D58BA5BF9673E943</idno><date when="2001" year="2001">2001</date><idno type="doi">10.1016/S0001-706X(01)00103-6</idno><idno type="url">https://api.istex.fr/document/F52ABAA158F02C6D02DF6911D58BA5BF9673E943/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000F35</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">000F35</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title><author><name sortKey="Malone, J B" sort="Malone, J B" uniqKey="Malone J" first="J. B." last="Malone">J. B. Malone</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation><affiliation><mods:affiliation>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: malone@vetmed.lsu.edu</mods:affiliation></affiliation></author><author><name sortKey="Yilma, J M" sort="Yilma, J M" uniqKey="Yilma J" first="J. M." last="Yilma">J. M. Yilma</name><affiliation><mods:affiliation>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</mods:affiliation></affiliation></author><author><name sortKey="Mccarroll, J C" sort="Mccarroll, J C" uniqKey="Mccarroll J" first="J. C." last="Mccarroll">J. C. Mccarroll</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation></author><author><name sortKey="Erko, B" sort="Erko, B" uniqKey="Erko B" first="B." last="Erko">B. Erko</name><affiliation><mods:affiliation>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</mods:affiliation></affiliation></author><author><name sortKey="Mukaratirwa, S" sort="Mukaratirwa, S" uniqKey="Mukaratirwa S" first="S." last="Mukaratirwa">S. Mukaratirwa</name><affiliation><mods:affiliation>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</mods:affiliation></affiliation></author><author><name sortKey="Zhou, Xinyu" sort="Zhou, Xinyu" uniqKey="Zhou X" first="Xinyu" last="Zhou">Xinyu Zhou</name><affiliation><mods:affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Acta Tropica</title><title level="j" type="abbrev">ACTROP</title><idno type="ISSN">0001-706X</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001">2001</date><biblScope unit="volume">79</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="59">59</biblScope><biblScope unit="page" to="72">72</biblScope></imprint><idno type="ISSN">0001-706X</idno></series><idno type="istex">F52ABAA158F02C6D02DF6911D58BA5BF9673E943</idno><idno type="DOI">10.1016/S0001-706X(01)00103-6</idno><idno type="PII">S0001-706X(01)00103-6</idno><idno type="ArticleID">1120</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0001-706X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomphalaria pfeifferi</term><term>Climate</term><term>Epidemiology</term><term>Geographic information systems</term><term>Remote sensing</term><term>Schistosoma mansoni</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (Tmax) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with Schistosoma mansoni distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and Tmax 20–33°C in the annual composite map, NDVI 125–145 and Tmax 18–29°C for the wet season map, and NDVI 125–140 and Tmax 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the S. mansoni–Biomphalaria pfeifferi system. Results suggest that Global 1-km NDVI and Tmax, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of <27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of <−1300 mm, the model accurately represented the regional distribution of the S. mansoni–B. pfeifferi system in the East Africa extrapolation area.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>J.B. Malone</name><affiliations><json:string>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</json:string><json:string>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</json:string><json:string>E-mail: malone@vetmed.lsu.edu</json:string></affiliations></json:item><json:item><name>J.M. Yilma</name><affiliations><json:string>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</json:string></affiliations></json:item><json:item><name>J.C. McCarroll</name><affiliations><json:string>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</json:string></affiliations></json:item><json:item><name>B. Erko</name><affiliations><json:string>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</json:string></affiliations></json:item><json:item><name>S. Mukaratirwa</name><affiliations><json:string>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</json:string></affiliations></json:item><json:item><name>Xinyu Zhou</name><affiliations><json:string>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Biomphalaria pfeifferi</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Climate</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Epidemiology</value></json:item><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>Schistosoma mansoni</value></json:item></subject><articleId><json:string>1120</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (Tmax) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with Schistosoma mansoni distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and Tmax 20–33°C in the annual composite map, NDVI 125–145 and Tmax 18–29°C for the wet season map, and NDVI 125–140 and Tmax 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the S. mansoni–Biomphalaria pfeifferi system. Results suggest that Global 1-km NDVI and Tmax, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of >27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of >−1300 mm, the model accurately represented the regional distribution of the S. mansoni–B. pfeifferi system in the East Africa extrapolation area.</abstract><qualityIndicators><score>8</score><pdfVersion>1.2</pdfVersion><pdfPageSize>536 x 674 pts</pdfPageSize><refBibsNative>true</refBibsNative><keywordCount>6</keywordCount><abstractCharCount>1889</abstractCharCount><pdfWordCount>6462</pdfWordCount><pdfCharCount>40019</pdfCharCount><pdfPageCount>14</pdfPageCount><abstractWordCount>280</abstractWordCount></qualityIndicators><title>Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title><pii><json:string>S0001-706X(01)00103-6</json:string></pii><genre><json:string>research-article</json:string></genre><host><volume>79</volume><pii><json:string>S0001-706X(00)X0064-2</json:string></pii><editor><json:item><name>J.B. Malone</name></json:item><json:item><name>N.R. Bergquist</name></json:item><json:item><name>O.K. Huh</name></json:item></editor><pages><last>72</last><first>59</first></pages><conference><json:item><name>A Global Network on Schistosomiasis Information Systems and Control of Snail-Borne Diseases, Bellagio, Italy 20000410 20000414</name></json:item></conference><issn><json:string>0001-706X</json:string></issn><issue>1</issue><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><title>Acta Tropica</title><publicationDate>2001</publicationDate></host><categories><wos><json:string>science</json:string><json:string>tropical medicine</json:string><json:string>parasitology</json:string></wos><scienceMetrix><json:string>health sciences</json:string><json:string>clinical medicine</json:string><json:string>tropical medicine</json:string></scienceMetrix></categories><publicationDate>2001</publicationDate><copyrightDate>2001</copyrightDate><doi><json:string>10.1016/S0001-706X(01)00103-6</json:string></doi><id>F52ABAA158F02C6D02DF6911D58BA5BF9673E943</id><score>0.04538895</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/F52ABAA158F02C6D02DF6911D58BA5BF9673E943/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/F52ABAA158F02C6D02DF6911D58BA5BF9673E943/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/F52ABAA158F02C6D02DF6911D58BA5BF9673E943/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>ELSEVIER</publisher><availability><p>©2001 Elsevier Science B.V.</p></availability><date>2001</date></publicationStmt><notesStmt><note type="content">Fig. 1: Organization of data layers in the geographic information system constructed for Ethiopia.</note><note type="content">Fig. 2: Scatter diagrams of prevalence percentage >10% as compared to values extracted from 1992–1995 composite NDVI (a) and Tmax (b) maps from 5 km diameter areas centered on S. mansoni prevalence survey sites. Initial GIS query criteria of environmental suitability for transmission were based on these NDVI and Tmax data ranges.</note><note type="content">Fig. 3: GIS ‘annual composite model’ query that met criteria for both NDVI (125–145) and Tmax (20–33°C) overlaid on the 1995 annual composite of NDVI. The area shown in red represents the ‘best fit’ of query values when compared to the known distribution of the S. mansoni–B. pfeifferi system in Ethiopia.</note><note type="content">Fig. 4: (a) Extrapolation of the GIS ‘dry season model’ query to neighboring countries in the IGADD zone of East Africa as compared to S. mansoni prevalence data from the WHO atlas on the distribution of schistosomiasis. Note zones in the southern Sudan and coastal Somalia that were incorrectly predicted to be suitable, irrigated areas correctly predicted to be suitable, and sites in Uganda (where B. sudanica is the major vector species) that were predicted to be unsuitable. The model is superimposed on an annual composite NDVI map. (b) IGAD Crop production system zones (CPSZ) of East Africa that are predicted to be unsuitable for the S. mansoni–B. pfeifferi system due to average annual mean temperatures of 27°C or above or annual moisture deficits of >1300 mm. The CPSZ polygons queries are superimposed on the annual composite of Tmax. If the CPSZ considered unsuitable for B. pfeifferi are superimposed on the dry season model area, the areas that were incorrectly predicted to be suitable based on satellite derived data are eliminated. Because CPSZ have a single value for each polygon area, ‘sub-polygon’ irrigated areas and sites near water bodies are not detectable by the CPSZ query, but are by the dry season model based on Global 1-km climate surrogate data.</note><note type="content">Table 1: Predictive values of the annual composite, wet season and dry season composite models in Ethiopia, as compared to sites with reported S. mansoni prevalence rates of 0, <5% and >5%</note><note type="content">Table 2: Logistic regression results for the crop production system zone and Global 1-km dry season models when compared to S. mansoni prevalence</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title><author xml:id="author-1"><persName><forename type="first">J.B.</forename><surname>Malone</surname></persName><email>malone@vetmed.lsu.edu</email><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation><affiliation>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</affiliation></author><author xml:id="author-2"><persName><forename type="first">J.M.</forename><surname>Yilma</surname></persName><affiliation>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</affiliation></author><author xml:id="author-3"><persName><forename type="first">J.C.</forename><surname>McCarroll</surname></persName><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation></author><author xml:id="author-4"><persName><forename type="first">B.</forename><surname>Erko</surname></persName><affiliation>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</affiliation></author><author xml:id="author-5"><persName><forename type="first">S.</forename><surname>Mukaratirwa</surname></persName><affiliation>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</affiliation></author><author xml:id="author-6"><persName><forename type="first">Xinyu</forename><surname>Zhou</surname></persName><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation></author></analytic><monogr><title level="j">Acta Tropica</title><title level="j" type="abbrev">ACTROP</title><idno type="pISSN">0001-706X</idno><idno type="PII">S0001-706X(00)X0064-2</idno><meeting><addName>A Global Network on Schistosomiasis Information Systems and Control of Snail-Borne Diseases, Bellagio, Italy</addName><date>20000410</date><date>20000414</date></meeting><editor><persName>J.B. Malone</persName></editor><editor><persName>N.R. Bergquist</persName></editor><editor><persName>O.K. Huh</persName></editor><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001"></date><biblScope unit="volume">79</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="59">59</biblScope><biblScope unit="page" to="72">72</biblScope></imprint></monogr><idno type="istex">F52ABAA158F02C6D02DF6911D58BA5BF9673E943</idno><idno type="DOI">10.1016/S0001-706X(01)00103-6</idno><idno type="PII">S0001-706X(01)00103-6</idno><idno type="ArticleID">1120</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (Tmax) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with Schistosoma mansoni distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and Tmax 20–33°C in the annual composite map, NDVI 125–145 and Tmax 18–29°C for the wet season map, and NDVI 125–140 and Tmax 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the S. mansoni–Biomphalaria pfeifferi system. Results suggest that Global 1-km NDVI and Tmax, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of <27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of <−1300 mm, the model accurately represented the regional distribution of the S. mansoni–B. pfeifferi system in the East Africa extrapolation area.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Biomphalaria pfeifferi</term></item><item><term>Climate</term></item><item><term>Epidemiology</term></item><item><term>Geographic information systems</term></item><item><term>Remote sensing</term></item><item><term>Schistosoma mansoni</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2001">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/F52ABAA158F02C6D02DF6911D58BA5BF9673E943/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="UTF-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>ACTROP</jid><aid>1120</aid><ce:pii>S0001-706X(01)00103-6</ce:pii><ce:doi>10.1016/S0001-706X(01)00103-6</ce:doi><ce:copyright type="full-transfer" year="2001">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>Satellite climatology and the environmental risk of <ce:italic>Schistosoma mansoni</ce:italic> in Ethiopia and east Africa</ce:title><ce:author-group><ce:author><ce:given-name>J.B.</ce:given-name><ce:surname>Malone</ce:surname><ce:cross-ref refid="AFF1"><ce:sup loc="post">a</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address type="email">malone@vetmed.lsu.edu</ce:e-address></ce:author><ce:author><ce:given-name>J.M.</ce:given-name><ce:surname>Yilma</ce:surname><ce:cross-ref refid="AFF2"><ce:sup loc="post">b</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>J.C.</ce:given-name><ce:surname>McCarroll</ce:surname><ce:cross-ref refid="AFF1"><ce:sup loc="post">a</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>B.</ce:given-name><ce:surname>Erko</ce:surname><ce:cross-ref refid="AFF3"><ce:sup loc="post">c</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>S.</ce:given-name><ce:surname>Mukaratirwa</ce:surname><ce:cross-ref refid="AFF4"><ce:sup loc="post">d</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>Xinyu</ce:given-name><ce:surname>Zhou</ce:surname><ce:cross-ref refid="AFF1"><ce:sup loc="post">a</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</ce:textfn></ce:affiliation><ce:affiliation id="AFF3"><ce:label>c</ce:label><ce:textfn>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</ce:textfn></ce:affiliation><ce:affiliation id="AFF4"><ce:label>d</ce:label><ce:textfn>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</ce:text></ce:correspondence></ce:author-group><ce:abstract class="author"><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para view="all" id="simple-para.0040">Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (<ce:italic>T</ce:italic><ce:inf loc="post">max</ce:inf>) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with <ce:italic>Schistosoma mansoni</ce:italic> distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and <ce:italic>T</ce:italic><ce:inf loc="post">max</ce:inf> 20–33°C in the annual composite map, NDVI 125–145 and <ce:italic>T</ce:italic><ce:inf loc="post">max</ce:inf> 18–29°C for the wet season map, and NDVI 125–140 and <ce:italic>T</ce:italic><ce:inf loc="post">max</ce:inf> 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the <ce:italic>S</ce:italic>. <ce:italic>mansoni</ce:italic>–<ce:italic>Biomphalaria pfeifferi</ce:italic> system. Results suggest that Global 1-km NDVI and <ce:italic>T</ce:italic><ce:inf loc="post">max</ce:inf>, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of <27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of <−1300 mm, the model accurately represented the regional distribution of the <ce:italic>S</ce:italic>. <ce:italic>mansoni</ce:italic>–<ce:italic>B. pfeifferi</ce:italic> system in the East Africa extrapolation area.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text><ce:italic>Biomphalaria pfeifferi</ce:italic></ce:text></ce:keyword><ce:keyword><ce:text>Climate</ce:text></ce:keyword><ce:keyword><ce:text>Epidemiology</ce:text></ce:keyword><ce:keyword><ce:text>Geographic information systems</ce:text></ce:keyword><ce:keyword><ce:text>Remote sensing</ce:text></ce:keyword><ce:keyword><ce:text><ce:italic>Schistosoma mansoni</ce:italic></ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>Satellite climatology and the environmental risk of</title></titleInfo><name type="personal"><namePart type="given">J.B.</namePart><namePart type="family">Malone</namePart><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation><affiliation>Corresponding author. Tel.: +001-225-578-9692; fax: +001-225-578-9701</affiliation><affiliation>E-mail: malone@vetmed.lsu.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.M.</namePart><namePart type="family">Yilma</namePart><affiliation>Faculty of Veterinary Medicine, Addis Ababa University, Debre Zeit, Ethiopia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">J.C.</namePart><namePart type="family">McCarroll</namePart><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B.</namePart><namePart type="family">Erko</namePart><affiliation>Institute of Pathobiology, Addis Ababa University, Addis Ababa, Ethiopia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">S.</namePart><namePart type="family">Mukaratirwa</namePart><affiliation>Department of Paraveterinary Sciences, University of Zimbabwe, Mt Pleasant, Zimbabwe</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xinyu</namePart><namePart type="family">Zhou</namePart><affiliation>Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA 70803, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2001</dateIssued><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Annual and seasonal composite maps prepared from the normalized difference vegetation index (NDVI) and earth surface maximum temperature (Tmax) satellite data from the archives of the Global land 1-km program of the United States Geological Survey (USGS) were studied for. their potential value, using geographic information system (GIS) methods, as surrogates of climate data in the development of environmental risk models for schistosomiasis in Ethiopia. Annual, wet season and dry season models were developed and iteratively analyzed for relationships with Schistosoma mansoni distribution and infection prevalence rates. Model-predicted endemic area overlays that best fit the distribution of sites with over 5% prevalence corresponded to values of NDVI 125–145 and Tmax 20–33°C in the annual composite map, NDVI 125–145 and Tmax 18–29°C for the wet season map, and NDVI 125–140 and Tmax 22–37°C for the dry season map. The model-predicted endemic area was similar to that of a prior model developed using an independent agroecologic zone data set from the United Nations Food and Agriculture Organization (FAO). Results were consistent with field and laboratory data on the preferences and limits of tolerance of the S. mansoni–Biomphalaria pfeifferi system. Results suggest that Global 1-km NDVI and Tmax, when used together, can be used as surrogate climate data for development of GIS risk assessment models for schistosomiasis. The model developed for Ethiopia based on global 1-km satellite data was extrapolated to a broader area of East Africa. When used with FAO agroecologic zone climate data limits of <27°C for average annual mean temperature and annual moisture deficits (annual rain–annual potential evapotranspiration) of <−1300 mm, the model accurately represented the regional distribution of the S. mansoni–B. pfeifferi system in the East Africa extrapolation area.</abstract><note type="content">Fig. 1: Organization of data layers in the geographic information system constructed for Ethiopia.</note><note type="content">Fig. 2: Scatter diagrams of prevalence percentage >10% as compared to values extracted from 1992–1995 composite NDVI (a) and Tmax (b) maps from 5 km diameter areas centered on S. mansoni prevalence survey sites. Initial GIS query criteria of environmental suitability for transmission were based on these NDVI and Tmax data ranges.</note><note type="content">Fig. 3: GIS ‘annual composite model’ query that met criteria for both NDVI (125–145) and Tmax (20–33°C) overlaid on the 1995 annual composite of NDVI. The area shown in red represents the ‘best fit’ of query values when compared to the known distribution of the S. mansoni–B. pfeifferi system in Ethiopia.</note><note type="content">Fig. 4: (a) Extrapolation of the GIS ‘dry season model’ query to neighboring countries in the IGADD zone of East Africa as compared to S. mansoni prevalence data from the WHO atlas on the distribution of schistosomiasis. Note zones in the southern Sudan and coastal Somalia that were incorrectly predicted to be suitable, irrigated areas correctly predicted to be suitable, and sites in Uganda (where B. sudanica is the major vector species) that were predicted to be unsuitable. The model is superimposed on an annual composite NDVI map. (b) IGAD Crop production system zones (CPSZ) of East Africa that are predicted to be unsuitable for the S. mansoni–B. pfeifferi system due to average annual mean temperatures of 27°C or above or annual moisture deficits of >1300 mm. The CPSZ polygons queries are superimposed on the annual composite of Tmax. If the CPSZ considered unsuitable for B. pfeifferi are superimposed on the dry season model area, the areas that were incorrectly predicted to be suitable based on satellite derived data are eliminated. Because CPSZ have a single value for each polygon area, ‘sub-polygon’ irrigated areas and sites near water bodies are not detectable by the CPSZ query, but are by the dry season model based on Global 1-km climate surrogate data.</note><note type="content">Table 1: Predictive values of the annual composite, wet season and dry season composite models in Ethiopia, as compared to sites with reported S. mansoni prevalence rates of 0, <5% and >5%</note><note type="content">Table 2: Logistic regression results for the crop production system zone and Global 1-km dry season models when compared to S. mansoni prevalence</note><subject lang="en"><genre>Keywords</genre><topic>Biomphalaria pfeifferi</topic><topic>Climate</topic><topic>Epidemiology</topic><topic>Geographic information systems</topic><topic>Remote sensing</topic><topic>Schistosoma mansoni</topic></subject><relatedItem type="host"><titleInfo><title>Acta Tropica</title></titleInfo><titleInfo type="abbreviated"><title>ACTROP</title></titleInfo><name type="conference"><namePart>A Global Network on Schistosomiasis Information Systems and Control of Snail-Borne Diseases, Bellagio, Italy</namePart><namePart type="date">20000410</namePart><namePart type="date">20000414</namePart></name><name type="personal"><namePart>J.B. Malone</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart>N.R. Bergquist</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart>O.K. Huh</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">20010427</dateIssued></originInfo><identifier type="ISSN">0001-706X</identifier><identifier type="PII">S0001-706X(00)X0064-2</identifier><part><date>20010427</date><detail type="issue"><title>A Global Network on Schistosomiasis Information Systems and Control of Snail-Borne Diseases, Bellagio, Italy</title></detail><detail type="volume"><number>79</number><caption>vol.</caption></detail><detail type="issue"><number>1</number><caption>no.</caption></detail><extent unit="issue pages"><start>1</start><end>114</end></extent><extent unit="pages"><start>59</start><end>72</end></extent></part></relatedItem><identifier type="istex">F52ABAA158F02C6D02DF6911D58BA5BF9673E943</identifier><identifier type="DOI">10.1016/S0001-706X(01)00103-6</identifier><identifier type="PII">S0001-706X(01)00103-6</identifier><identifier type="ArticleID">1120</identifier><accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2001</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Agronomie/explor/SisAgriV1/Data/Istex/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000F35 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Istex/Corpus/biblio.hfd -nk 000F35 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Agronomie
|area= SisAgriV1
|flux= Istex
|étape= Corpus
|type= RBID
|clé= ISTEX:F52ABAA158F02C6D02DF6911D58BA5BF9673E943
|texte= Satellite climatology and the environmental risk of Schistosoma mansoni in Ethiopia and east Africa
}}
| This area was generated with Dilib version V0.6.28. |  |