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resumen

Resumen
The transmission of Fasciola hepatica occurs only where there are -or recently were- aquatic or amphibious snails of the Lymnaeidae family, the intermediate host of this parasite. Direct detection of these snails is time-consuming and imprecise, hindering accurate and detailed mapping of transmission risk. To identify which microenvironmental factors could be used as proxies for the occurrence of the lymnaeid snail Galba viator, a major intermediate host [ver mas...]
dc.contributor.authorRodriguez Quinteros, Ana C.
dc.contributor.authorSoler, Paula
dc.contributor.authorLarroza, Marcela Patricia
dc.contributor.authorMorales, Juan M.
dc.contributor.authorGurevitz, Juan M.
dc.date.accessioned2024-06-07T11:03:02Z
dc.date.available2024-06-07T11:03:02Z
dc.date.issued2024-07
dc.identifier.issn0304-4017
dc.identifier.issn1873-2550
dc.identifier.otherhttps://doi.org/10.1016/j.vetpar.2024.110209
dc.identifier.urihttp://hdl.handle.net/20.500.12123/18063
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0304401724000979
dc.description.abstractThe transmission of Fasciola hepatica occurs only where there are -or recently were- aquatic or amphibious snails of the Lymnaeidae family, the intermediate host of this parasite. Direct detection of these snails is time-consuming and imprecise, hindering accurate and detailed mapping of transmission risk. To identify which microenvironmental factors could be used as proxies for the occurrence of the lymnaeid snail Galba viator, a major intermediate host in South America, a total of 183 1-m2 quadrants across diverse water bodies in an endemic area in Andean Patagonia were manually timed-searched for snails and microenvironmental variables were registered. Data was analyzed using a Bayesian hierarchical occupancy model that assessed the effects of the microenvironmental variables on the presence of snails while considering imperfect snail detection. The model estimated that G. viator predominantly inhabits shallow aquatic environments, in the presence of grasses, where snails of the genus Biomphalaria are also detected, and with scarce tree canopy cover. Physical factors affecting occupancy presumably act as proxies for the average water temperature, while the temperature at the time of sampling was found to affect snail detectability. The identified variables are easy, fast, and inexpensive to measure, and can complement management decisions and risk maps based on coarser remote-sensing data, particularly relevant in a context of growing resistance to anthelminthic drugs.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceVeterinary Parasitology 329 : 110209. (July 2024)es_AR
dc.subjectFasciola hepaticaeng
dc.subjectTemperatura del Aguaes_AR
dc.subjectWater Temperatureeng
dc.subjectFactores Ambientaleses_AR
dc.subjectEnvironmental Factorseng
dc.subjectCaracoleses_AR
dc.subjectSnailseng
dc.subjectHuéspedeses_AR
dc.subjectHostseng
dc.subject.otherRegión Patagónicaes_AR
dc.subject.otherRegión Andinaes_AR
dc.titleWater temperature and microenvironmental factors predict the presence and detection of the snail host of Fasciola hepatica in Andean Patagoniaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Barilochees_AR
dc.description.filFil: Rodriguez Quinteros, Ana C. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.description.filFil: Rodriguez Quinteros, Ana C. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.description.filFil: Soler, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Soler, Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentinaes_AR
dc.description.filFil: Larroza, Marcela Patricia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Grupo de Salud Animal; Argentinaes_AR
dc.description.filFil: Morales, Juan M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.description.filFil: Morales, Juan M. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.description.filFil: Morales, Juan M. University of Glasgow. School of Biodiversity, One Health and Veterinary Medicine; Reino Unidoes_AR
dc.description.filFil: Gurevitz, Juan M. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.description.filFil: Gurevitz, Juan M. Universidad Nacional del Comahue. Instituto de Investigaciones en Biodiversidad y Medioambiente. Grupo de Ecología Cuantitativa; Argentinaes_AR
dc.subtypecientifico


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