Salmonella seroprevalence in wild boar from Southeast Spain depends on host population density.


Journal

Research in veterinary science
ISSN: 1532-2661
Titre abrégé: Res Vet Sci
Pays: England
ID NLM: 0401300

Informations de publication

Date de publication:
Oct 2020
Historique:
received: 05 02 2020
revised: 26 05 2020
accepted: 30 07 2020
pubmed: 9 8 2020
medline: 15 12 2020
entrez: 9 8 2020
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 32763568
pii: S0034-5288(20)30969-3
doi: 10.1016/j.rvsc.2020.07.026
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

400-403

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interest.

Auteurs

Nieves Ortega (N)

Department of Animal Health, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Spain.

Angela Fanelli (A)

Department of Veterinary Sciences, University of Turin, Grugliasco, Italy.

Alfonso Serrano (A)

Department of Animal Health, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Spain.

Carlos Martínez-Carrasco (C)

Department of Animal Health, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Spain.

Fernando Escribano (F)

Programa de Conservación y Recuperación de Fauna Silvestre, Dirección General de Medio Natural. Comunidad Autónoma de la Región de Murcia, Spain.

Paolo Tizzani (P)

Department of Veterinary Sciences, University of Turin, Grugliasco, Italy.

Monica G Candela (MG)

Department of Animal Health, Regional Campus of International Excellence "Campus Mare Nostrum", University of Murcia, Spain. Electronic address: monica@um.es.

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Classifications MeSH