Climate-based risk models for Fasciola hepatica in Colombia
ABSTRACT : A predictive Fasciola hepatica model, based on the growing degree day-water budget (GDD-WB) concept and the known biological requirements of the parasite, was developed within a geographical information system (GIS) in Colombia. Climate-based forecast index (CFI) values were calculated an...
- Autores:
-
Valencia López, Natalia Eugenia
Malone, John B.
Gómez Carmona, Catalina
Velásquez Trujillo, Luz Elena
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2012
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/24104
- Acceso en línea:
- http://hdl.handle.net/10495/24104
- Palabra clave:
- Fasciola hepatica
Geographic Information Systems
Sistemas de Información Geográfica
Colombia
Vectores de Enfermedades
Disease Vectors
Modelos Teóricos
Models, Theoretical
Clima
Climate
Pronóstico del tiempo
Weather forecasting
http://aims.fao.org/aos/agrovoc/c_8340
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc/2.5/co/
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|
dc.title.spa.fl_str_mv |
Climate-based risk models for Fasciola hepatica in Colombia |
title |
Climate-based risk models for Fasciola hepatica in Colombia |
spellingShingle |
Climate-based risk models for Fasciola hepatica in Colombia Fasciola hepatica Geographic Information Systems Sistemas de Información Geográfica Colombia Vectores de Enfermedades Disease Vectors Modelos Teóricos Models, Theoretical Clima Climate Pronóstico del tiempo Weather forecasting http://aims.fao.org/aos/agrovoc/c_8340 |
title_short |
Climate-based risk models for Fasciola hepatica in Colombia |
title_full |
Climate-based risk models for Fasciola hepatica in Colombia |
title_fullStr |
Climate-based risk models for Fasciola hepatica in Colombia |
title_full_unstemmed |
Climate-based risk models for Fasciola hepatica in Colombia |
title_sort |
Climate-based risk models for Fasciola hepatica in Colombia |
dc.creator.fl_str_mv |
Valencia López, Natalia Eugenia Malone, John B. Gómez Carmona, Catalina Velásquez Trujillo, Luz Elena |
dc.contributor.author.none.fl_str_mv |
Valencia López, Natalia Eugenia Malone, John B. Gómez Carmona, Catalina Velásquez Trujillo, Luz Elena |
dc.subject.decs.none.fl_str_mv |
Fasciola hepatica Geographic Information Systems Sistemas de Información Geográfica Colombia Vectores de Enfermedades Disease Vectors Modelos Teóricos Models, Theoretical Clima Climate |
topic |
Fasciola hepatica Geographic Information Systems Sistemas de Información Geográfica Colombia Vectores de Enfermedades Disease Vectors Modelos Teóricos Models, Theoretical Clima Climate Pronóstico del tiempo Weather forecasting http://aims.fao.org/aos/agrovoc/c_8340 |
dc.subject.agrovoc.none.fl_str_mv |
Pronóstico del tiempo Weather forecasting |
dc.subject.agrovocuri.none.fl_str_mv |
http://aims.fao.org/aos/agrovoc/c_8340 |
description |
ABSTRACT : A predictive Fasciola hepatica model, based on the growing degree day-water budget (GDD-WB) concept and the known biological requirements of the parasite, was developed within a geographical information system (GIS) in Colombia. Climate-based forecast index (CFI) values were calculated and represented in a national-scale, climate grid (18 x 18 km) using ArcGIS 9.3. A mask overlay was used to exclude unsuitable areas where mean annual temperature exceeded 25 °C, the upper threshold for development and propagation of the F. hepatica life cycle. The model was then validated and further developed by studies limited to one department in northwest Colombia. F. hepatica prevalence data was obtained from a 2008-2010 survey in 10 municipalities of 6,016 dairy cattle at 673 herd study sites, for which global positioning system coordinates were recorded. The CFI map results were compared to F. hepatica environmental risk models for the survey data points that had over 5% prevalence (231 of the 673 sites) at the 1 km2 scale using two independent approaches: (i) a GIS map query based on satellite data parameters including elevation, enhanced vegetation index and land surface temperature day-night difference; and (ii) an ecological niche model (MaxEnt), for which geographic point coordinates of F. hepatica survey farms were used with BioClim data as environmental variables to develop a probability map. The predicted risk pattern of both approaches was similar to that seen in the forecast index grid. The temporal risk, evaluated by the monthly CFIs and a daily GDD-WB forecast software for 2007 and 2008, revealed a major July-August to January transmission period with considerable inter-annual differences. |
publishDate |
2012 |
dc.date.issued.none.fl_str_mv |
2012 |
dc.date.accessioned.none.fl_str_mv |
2021-11-14T20:47:33Z |
dc.date.available.none.fl_str_mv |
2021-11-14T20:47:33Z |
dc.type.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.hasversion.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.redcol.spa.fl_str_mv |
https://purl.org/redcol/resource_type/ART |
dc.type.local.spa.fl_str_mv |
Artículo de investigación |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
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publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
Valencia-López N, Malone JB, Carmona CG, Velásquez LE. Climate-based risk models for Fasciola hepatica in Colombia. Geospat Health. 2012 Sep;6(3):S67-85. doi: 10.4081/gh.2012.125. |
dc.identifier.issn.none.fl_str_mv |
1827-1987 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10495/24104 |
dc.identifier.doi.none.fl_str_mv |
10.4081/gh.2012.125. |
dc.identifier.eissn.none.fl_str_mv |
1970-7096 |
identifier_str_mv |
Valencia-López N, Malone JB, Carmona CG, Velásquez LE. Climate-based risk models for Fasciola hepatica in Colombia. Geospat Health. 2012 Sep;6(3):S67-85. doi: 10.4081/gh.2012.125. 1827-1987 10.4081/gh.2012.125. 1970-7096 |
url |
http://hdl.handle.net/10495/24104 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Geospat Health |
dc.rights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc/2.5/co/ |
dc.rights.accessrights.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.creativecommons.spa.fl_str_mv |
https://creativecommons.org/licenses/by-nc/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc/2.5/co/ http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc/4.0/ |
dc.format.extent.spa.fl_str_mv |
11 |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Università degli Studi di Napoli Federico II, Dipartimento di Medicina Veterinaria e Produzioni Animali |
dc.publisher.group.spa.fl_str_mv |
Microbiología Ambiental Programa de Estudio y Control de Enfermedades Tropicales (PECET) |
dc.publisher.place.spa.fl_str_mv |
Nápoles, Italia |
institution |
Universidad de Antioquia |
bitstream.url.fl_str_mv |
http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/1/ValenciaNatalia_2012_ClimateModelsColombia.pdf http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/2/license_rdf http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/3/license.txt |
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andres.perez@udea.edu.co |
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1812173208319688704 |
spelling |
Valencia López, Natalia EugeniaMalone, John B.Gómez Carmona, CatalinaVelásquez Trujillo, Luz Elena2021-11-14T20:47:33Z2021-11-14T20:47:33Z2012Valencia-López N, Malone JB, Carmona CG, Velásquez LE. Climate-based risk models for Fasciola hepatica in Colombia. Geospat Health. 2012 Sep;6(3):S67-85. doi: 10.4081/gh.2012.125.1827-1987http://hdl.handle.net/10495/2410410.4081/gh.2012.125.1970-7096ABSTRACT : A predictive Fasciola hepatica model, based on the growing degree day-water budget (GDD-WB) concept and the known biological requirements of the parasite, was developed within a geographical information system (GIS) in Colombia. Climate-based forecast index (CFI) values were calculated and represented in a national-scale, climate grid (18 x 18 km) using ArcGIS 9.3. A mask overlay was used to exclude unsuitable areas where mean annual temperature exceeded 25 °C, the upper threshold for development and propagation of the F. hepatica life cycle. The model was then validated and further developed by studies limited to one department in northwest Colombia. F. hepatica prevalence data was obtained from a 2008-2010 survey in 10 municipalities of 6,016 dairy cattle at 673 herd study sites, for which global positioning system coordinates were recorded. The CFI map results were compared to F. hepatica environmental risk models for the survey data points that had over 5% prevalence (231 of the 673 sites) at the 1 km2 scale using two independent approaches: (i) a GIS map query based on satellite data parameters including elevation, enhanced vegetation index and land surface temperature day-night difference; and (ii) an ecological niche model (MaxEnt), for which geographic point coordinates of F. hepatica survey farms were used with BioClim data as environmental variables to develop a probability map. The predicted risk pattern of both approaches was similar to that seen in the forecast index grid. The temporal risk, evaluated by the monthly CFIs and a daily GDD-WB forecast software for 2007 and 2008, revealed a major July-August to January transmission period with considerable inter-annual differences.COL0040189COL001509911application/pdfengUniversità degli Studi di Napoli Federico II, Dipartimento di Medicina Veterinaria e Produzioni AnimaliMicrobiología AmbientalPrograma de Estudio y Control de Enfermedades Tropicales (PECET)Nápoles, Italiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARTArtículo de investigaciónhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/2.5/co/http://purl.org/coar/access_right/c_abf2https://creativecommons.org/licenses/by-nc/4.0/Climate-based risk models for Fasciola hepatica in ColombiaFasciola hepaticaGeographic Information SystemsSistemas de Información GeográficaColombiaVectores de EnfermedadesDisease VectorsModelos TeóricosModels, TheoreticalClimaClimatePronóstico del tiempoWeather forecastinghttp://aims.fao.org/aos/agrovoc/c_8340Geospat HealthGeospatial Health758563ORIGINALValenciaNatalia_2012_ClimateModelsColombia.pdfValenciaNatalia_2012_ClimateModelsColombia.pdfArtículo de investigaciónapplication/pdf514234http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/1/ValenciaNatalia_2012_ClimateModelsColombia.pdf9a12577bd18e0a99a23c693de364eb95MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8933http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/2/license_rdfc0c92b0ffc8b7d22d9cf56754a416a76MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://bibliotecadigital.udea.edu.co/bitstream/10495/24104/3/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5310495/24104oai:bibliotecadigital.udea.edu.co:10495/241042022-04-22 10:21:16.014Repositorio Institucional Universidad de Antioquiaandres.perez@udea.edu.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 |