A geographic information system on the potential distribution and abundance of Fasciola hepatica and F. gigantica in east Africa based on Food and Agriculture Organization databases.
Identifieur interne : 000528 ( PubMed/Corpus ); précédent : 000527; suivant : 000529A geographic information system on the potential distribution and abundance of Fasciola hepatica and F. gigantica in east Africa based on Food and Agriculture Organization databases.
Auteurs : J B Malone ; R. Gommes ; J. Hansen ; J M Yilma ; J. Slingenberg ; F. Snijders ; F. Nachtergaele ; E. AtamanSource :
- Veterinary parasitology [ 0304-4017 ] ; 1998.
English descriptors
- KwdEn :
- Africa, Eastern (epidemiology), Animals, Animals, Domestic (parasitology), Climate, Computer Simulation, Crops, Agricultural, Databases, Factual, Ecology, Fascioliasis (economics), Fascioliasis (epidemiology), Fascioliasis (veterinary), Geography, Models, Biological, Prevalence, Risk Assessment, United Nations.
- MESH :
- geographic , epidemiology : Africa, Eastern.
- economics : Fascioliasis.
- epidemiology : Fascioliasis.
- parasitology : Animals, Domestic.
- veterinary : Fascioliasis.
- Animals, Climate, Computer Simulation, Crops, Agricultural, Databases, Factual, Ecology, Geography, Models, Biological, Prevalence, Risk Assessment, United Nations.
Abstract
An adaptation of a previously developed climate forecast computer model and digital agroecologic database resources available from FAO for developing countries were used to develop a geographic information system risk assessment model for fasciolosis in East Africa, a region where both F. hepatica and F. gigantica occur as a cause of major economic losses in livestock. Regional F. hepatica and F. gigantica forecast index maps were created. Results were compared to environmental data parameters, known life cycle micro-environment requirements and to available Fasciola prevalence survey data and distribution patterns reported in the literature for each species (F. hepatica above 1200 m elevation, F. gigantica below 1800 m, both at 1200-1800 m). The greatest risk, for both species, occurred in areas of extended high annual rainfall associated with high soil moisture and surplus water, with risk diminishing in areas of shorter wet season and/or lower temperatures. Arid areas were generally unsuitable (except where irrigation, water bodies or floods occur) due to soil moisture deficit and/or, in the case of F. hepatica, high average annual mean temperature >23 degrees C. Regions in the highlands of Ethiopia and Kenya were identified as unsuitable for F. gigantica due to inadequate thermal regime, below the 600 growing degree days required for completion of the life cycle in a single year. The combined forecast index (F. hepatica+F. gigantica) was significantly correlated to prevalence data available for 260 of the 1220 agroecologic crop production system zones (CPSZ) and to average monthly normalized difference vegetation index (NDVI) values derived from the advanced very high resolution radiometer (AVHRR) sensor on board the NOAA polar-orbiting satellites. For use in Fasciola control programs, results indicate that monthly forecast parameters, developed in a GIS with digital agroecologic zone databases and monthly climate databases, can be used to define the distribution range of the two Fasciola species, regional variations in intensity and seasonal transmission patterns at different sites. Results further indicate that many of the methods used for crop productivity models can also be used to define the potential distribution and abundance of parasites.
PubMed: 9735915
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A geographic information system on the potential distribution and abundance of Fasciola hepatica and F. gigantica in east Africa based on Food and Agriculture Organization databases.</title><author><name sortKey="Malone, J B" sort="Malone, J B" uniqKey="Malone J" first="J B" last="Malone">J B Malone</name><affiliation><nlm:affiliation>School of Veterinary Medicine, Louisiana State University, Baton Rouge 70803, USA. malone@vt8200.vetmed.lsu.edu</nlm:affiliation></affiliation></author><author><name sortKey="Gommes, R" sort="Gommes, R" uniqKey="Gommes R" first="R" last="Gommes">R. Gommes</name></author><author><name sortKey="Hansen, J" sort="Hansen, J" uniqKey="Hansen J" first="J" last="Hansen">J. Hansen</name></author><author><name sortKey="Yilma, J M" sort="Yilma, J M" uniqKey="Yilma J" first="J M" last="Yilma">J M Yilma</name></author><author><name sortKey="Slingenberg, J" sort="Slingenberg, J" uniqKey="Slingenberg J" first="J" last="Slingenberg">J. Slingenberg</name></author><author><name sortKey="Snijders, F" sort="Snijders, F" uniqKey="Snijders F" first="F" last="Snijders">F. Snijders</name></author><author><name sortKey="Nachtergaele, F" sort="Nachtergaele, F" uniqKey="Nachtergaele F" first="F" last="Nachtergaele">F. Nachtergaele</name></author><author><name sortKey="Ataman, E" sort="Ataman, E" uniqKey="Ataman E" first="E" last="Ataman">E. Ataman</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1998">1998</date><idno type="RBID">pubmed:9735915</idno><idno type="pmid">9735915</idno><idno type="wicri:Area/PubMed/Corpus">000528</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000528</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A geographic information system on the potential distribution and abundance of Fasciola hepatica and F. gigantica in east Africa based on Food and Agriculture Organization databases.</title><author><name sortKey="Malone, J B" sort="Malone, J B" uniqKey="Malone J" first="J B" last="Malone">J B Malone</name><affiliation><nlm:affiliation>School of Veterinary Medicine, Louisiana State University, Baton Rouge 70803, USA. malone@vt8200.vetmed.lsu.edu</nlm:affiliation></affiliation></author><author><name sortKey="Gommes, R" sort="Gommes, R" uniqKey="Gommes R" first="R" last="Gommes">R. Gommes</name></author><author><name sortKey="Hansen, J" sort="Hansen, J" uniqKey="Hansen J" first="J" last="Hansen">J. Hansen</name></author><author><name sortKey="Yilma, J M" sort="Yilma, J M" uniqKey="Yilma J" first="J M" last="Yilma">J M Yilma</name></author><author><name sortKey="Slingenberg, J" sort="Slingenberg, J" uniqKey="Slingenberg J" first="J" last="Slingenberg">J. Slingenberg</name></author><author><name sortKey="Snijders, F" sort="Snijders, F" uniqKey="Snijders F" first="F" last="Snijders">F. Snijders</name></author><author><name sortKey="Nachtergaele, F" sort="Nachtergaele, F" uniqKey="Nachtergaele F" first="F" last="Nachtergaele">F. Nachtergaele</name></author><author><name sortKey="Ataman, E" sort="Ataman, E" uniqKey="Ataman E" first="E" last="Ataman">E. Ataman</name></author></analytic><series><title level="j">Veterinary parasitology</title><idno type="ISSN">0304-4017</idno><imprint><date when="1998" type="published">1998</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Africa, Eastern (epidemiology)</term><term>Animals</term><term>Animals, Domestic (parasitology)</term><term>Climate</term><term>Computer Simulation</term><term>Crops, Agricultural</term><term>Databases, Factual</term><term>Ecology</term><term>Fascioliasis (economics)</term><term>Fascioliasis (epidemiology)</term><term>Fascioliasis (veterinary)</term><term>Geography</term><term>Models, Biological</term><term>Prevalence</term><term>Risk Assessment</term><term>United Nations</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa, Eastern</term></keywords><keywords scheme="MESH" qualifier="economics" xml:lang="en"><term>Fascioliasis</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Fascioliasis</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Animals, Domestic</term></keywords><keywords scheme="MESH" qualifier="veterinary" xml:lang="en"><term>Fascioliasis</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Climate</term><term>Computer Simulation</term><term>Crops, Agricultural</term><term>Databases, Factual</term><term>Ecology</term><term>Geography</term><term>Models, Biological</term><term>Prevalence</term><term>Risk Assessment</term><term>United Nations</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An adaptation of a previously developed climate forecast computer model and digital agroecologic database resources available from FAO for developing countries were used to develop a geographic information system risk assessment model for fasciolosis in East Africa, a region where both F. hepatica and F. gigantica occur as a cause of major economic losses in livestock. Regional F. hepatica and F. gigantica forecast index maps were created. Results were compared to environmental data parameters, known life cycle micro-environment requirements and to available Fasciola prevalence survey data and distribution patterns reported in the literature for each species (F. hepatica above 1200 m elevation, F. gigantica below 1800 m, both at 1200-1800 m). The greatest risk, for both species, occurred in areas of extended high annual rainfall associated with high soil moisture and surplus water, with risk diminishing in areas of shorter wet season and/or lower temperatures. Arid areas were generally unsuitable (except where irrigation, water bodies or floods occur) due to soil moisture deficit and/or, in the case of F. hepatica, high average annual mean temperature >23 degrees C. Regions in the highlands of Ethiopia and Kenya were identified as unsuitable for F. gigantica due to inadequate thermal regime, below the 600 growing degree days required for completion of the life cycle in a single year. The combined forecast index (F. hepatica+F. gigantica) was significantly correlated to prevalence data available for 260 of the 1220 agroecologic crop production system zones (CPSZ) and to average monthly normalized difference vegetation index (NDVI) values derived from the advanced very high resolution radiometer (AVHRR) sensor on board the NOAA polar-orbiting satellites. For use in Fasciola control programs, results indicate that monthly forecast parameters, developed in a GIS with digital agroecologic zone databases and monthly climate databases, can be used to define the distribution range of the two Fasciola species, regional variations in intensity and seasonal transmission patterns at different sites. Results further indicate that many of the methods used for crop productivity models can also be used to define the potential distribution and abundance of parasites.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">9735915</PMID><DateCreated><Year>1998</Year><Month>10</Month><Day>05</Day></DateCreated><DateCompleted><Year>1998</Year><Month>10</Month><Day>05</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0304-4017</ISSN><JournalIssue CitedMedium="Print"><Volume>78</Volume><Issue>2</Issue><PubDate><Year>1998</Year><Month>Jul</Month><Day>31</Day></PubDate></JournalIssue><Title>Veterinary parasitology</Title><ISOAbbreviation>Vet. Parasitol.</ISOAbbreviation></Journal><ArticleTitle>A geographic information system on the potential distribution and abundance of Fasciola hepatica and F. gigantica in east Africa based on Food and Agriculture Organization databases.</ArticleTitle><Pagination><MedlinePgn>87-101</MedlinePgn></Pagination><Abstract><AbstractText>An adaptation of a previously developed climate forecast computer model and digital agroecologic database resources available from FAO for developing countries were used to develop a geographic information system risk assessment model for fasciolosis in East Africa, a region where both F. hepatica and F. gigantica occur as a cause of major economic losses in livestock. Regional F. hepatica and F. gigantica forecast index maps were created. Results were compared to environmental data parameters, known life cycle micro-environment requirements and to available Fasciola prevalence survey data and distribution patterns reported in the literature for each species (F. hepatica above 1200 m elevation, F. gigantica below 1800 m, both at 1200-1800 m). The greatest risk, for both species, occurred in areas of extended high annual rainfall associated with high soil moisture and surplus water, with risk diminishing in areas of shorter wet season and/or lower temperatures. Arid areas were generally unsuitable (except where irrigation, water bodies or floods occur) due to soil moisture deficit and/or, in the case of F. hepatica, high average annual mean temperature >23 degrees C. Regions in the highlands of Ethiopia and Kenya were identified as unsuitable for F. gigantica due to inadequate thermal regime, below the 600 growing degree days required for completion of the life cycle in a single year. The combined forecast index (F. hepatica+F. gigantica) was significantly correlated to prevalence data available for 260 of the 1220 agroecologic crop production system zones (CPSZ) and to average monthly normalized difference vegetation index (NDVI) values derived from the advanced very high resolution radiometer (AVHRR) sensor on board the NOAA polar-orbiting satellites. For use in Fasciola control programs, results indicate that monthly forecast parameters, developed in a GIS with digital agroecologic zone databases and monthly climate databases, can be used to define the distribution range of the two Fasciola species, regional variations in intensity and seasonal transmission patterns at different sites. Results further indicate that many of the methods used for crop productivity models can also be used to define the potential distribution and abundance of parasites.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Malone</LastName><ForeName>J B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>School of Veterinary Medicine, Louisiana State University, Baton Rouge 70803, USA. malone@vt8200.vetmed.lsu.edu</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gommes</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Hansen</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Yilma</LastName><ForeName>J M</ForeName><Initials>JM</Initials></Author><Author ValidYN="Y"><LastName>Slingenberg</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Snijders</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Nachtergaele</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Ataman</LastName><ForeName>E</ForeName><Initials>E</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Vet Parasitol</MedlineTA><NlmUniqueID>7602745</NlmUniqueID><ISSNLinking>0304-4017</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000351" MajorTopicYN="N" Type="Geographic">Africa, Eastern</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000829" MajorTopicYN="N">Animals, Domestic</DescriptorName><QualifierName UI="Q000469" MajorTopicYN="Y">parasitology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002980" MajorTopicYN="N">Climate</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="Y">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018556" MajorTopicYN="N">Crops, Agricultural</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016208" MajorTopicYN="Y">Databases, Factual</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005211" MajorTopicYN="N">Fascioliasis</DescriptorName><QualifierName UI="Q000191" MajorTopicYN="N">economics</QualifierName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000662" MajorTopicYN="Y">veterinary</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005843" MajorTopicYN="N">Geography</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008954" MajorTopicYN="Y">Models, Biological</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014480" MajorTopicYN="N">United Nations</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1998</Year><Month>9</Month><Day>15</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1998</Year><Month>9</Month><Day>15</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1998</Year><Month>9</Month><Day>15</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">9735915</ArticleId><ArticleId IdType="pii">S0304-4017(98)00137-X</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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