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dc.contributor.authorOrtega, N.-
dc.contributor.authorFanelli, A.-
dc.contributor.authorSerrano, A.-
dc.contributor.authorMartinez-Carrasco, C.-
dc.contributor.authorEscribano, F.-
dc.contributor.authorTizzani, P.-
dc.contributor.authorCandela, M. G.-
dc.date.accessioned2024-01-30T08:24:38Z-
dc.date.available2024-01-30T08:24:38Z-
dc.date.issued2020-07-30-
dc.identifier.citationResearch in Veterinary Science 132, 2020, (400–403)-
dc.identifier.issnPrint: 0034-5288-
dc.identifier.issnElectronic: 1532-2661-
dc.identifier.urihttp://hdl.handle.net/10201/138064-
dc.description© 2020 Elsevier Ltd. All rights reserved. This document is the Published version of a Published Work that appeared in final form in Research in Veterinary Science. To access the final edited and published work see https://doi.org/10.1016/j.rvsc.2020.07.026-
dc.description.abstractSalmonellosis is the second most prevalent zoonosis in Europe and it has considerable economic and health implications for its monitoring and control as well as being among the most prevalent pathogens on livestock farms. The wild boar (Sus scrofa) has been identified as a competent host and spreader of Salmonella spp. There has been a significant increase in wild boar population in Europe in recent decades, and it is even present in urban areas. This study evaluates the spatial distribution of the seroprevalence of Salmonella spp. in wild boar from Murcia (Southeast Spain) and its relationship with host-related risk factors (sex, age, location and density). The presence of antibodies against S. Typhimurium and Choleraesuis in 269 serum of wild boars hunted in Murcia between 2015 and 2019 were analyzed using a commercial ELISA test (PrioCHECK porcine Salmonella kit). The seroprevalence were spatially distributed using Kernel function, and wild boar density using Gaussian kernel estimates (spatialEco version 1.1.1). The risk function was estimated as the ratio between the intensity of positive samples and the wild boar density The overall seroprevalence was 19.3% (IC95% 16.9–21.8), showing a significant spatial aggregation. The highest seroprevalence detected was 51.8% (IC95% 42.2–61.5) in a specific area with high risk of infection (76–100%) and was related to the wild boar density. Only marginal differences were detected for sex and age. The use of ELISA combined with QGIS (version 3.6.0) has allowed the identification of areas of Salmonella occurrence associated with high density as risk factor.es
dc.formatapplication/pdfes
dc.format.extent4es
dc.languageenges
dc.publisherElsevier Ltd.es
dc.relationSin financiación externa a la Universidades
dc.rightsinfo:eu-repo/semantics/embargoedAccesses
dc.subjectELISAes
dc.subjectEpidemiologyes
dc.subjectGeographical information systemes
dc.subjectSalmonellaes
dc.subjectWild boares
dc.subject.otherCDU::5 - Ciencias puras y naturales::57 - Biología::574 - Ecología general y biodiversidades
dc.subject.otherCDU::5 - Ciencias puras y naturales::57 - Biología::579 - Microbiologíaes
dc.titleSalmonella seroprevalence in wild boar from Southeast Spain depends on host population densityes
dc.typeinfo:eu-repo/semantics/articlees
dc.embargo.termsSi-
dc.identifier.doihttps://doi.org/10.1016/j.rvsc.2020.07.026-
dc.contributor.departmentSanidad Animal-
dc.contributor.departmentDepartment of Veterinary Sciences, University of Turin, 10090 Grugliasco, Italy-
dc.contributor.departmentPrograma de Conservación y Recuperación de Fauna Silvestre, Dirección General de Medio Natural. Comunidad Autónoma de la Región de Murcia, Spain-
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