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Título: Salmonella seroprevalence in wild boar from Southeast Spain depends on host population density
Fecha de publicación: 30-jul-2020
Editorial: Elsevier Ltd.
Cita bibliográfica: Research in Veterinary Science 132, 2020, (400–403)
ISSN: Print: 0034-5288
Electronic: 1532-2661
Materias relacionadas: CDU::5 - Ciencias puras y naturales::57 - Biología::574 - Ecología general y biodiversidad
CDU::5 - Ciencias puras y naturales::57 - Biología::579 - Microbiología
Palabras clave: ELISA
Epidemiology
Geographical information system
Salmonella
Wild boar
Resumen: Salmonellosis 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.
Autor/es principal/es: Ortega, N.
Fanelli, A.
Serrano, A.
Martinez-Carrasco, C.
Escribano, F.
Tizzani, P.
Candela, M. G.
Facultad/Departamentos/Servicios: Department of Animal Health, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Spain
Department of Veterinary Sciences, University of Turin, 10090 Grugliasco, Italy
Programa de Conservación y Recuperación de Fauna Silvestre, Dirección General de Medio Natural. Comunidad Autónoma de la Región de Murcia, Spain
URI: http://hdl.handle.net/10201/138064
DOI: https://doi.org/10.1016/j.rvsc.2020.07.026
Tipo de documento: info:eu-repo/semantics/article
Número páginas / Extensión: 4
Derechos: info:eu-repo/semantics/embargoedAccess
Descripción: © 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
Aparece en las colecciones:Artículos: Sanidad Animal

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