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dc.contributor.author
Mazzanti, Mariana  
dc.contributor.author
Scialfa, Exequiel Alejandro  
dc.contributor.author
Rivero, Mariana Alejandra  
dc.contributor.author
Passucci, Juan Antonio  
dc.date.available
2023-11-17T12:23:06Z  
dc.date.issued
2023-02  
dc.identifier.citation
Mazzanti, Mariana; Scialfa, Exequiel Alejandro; Rivero, Mariana Alejandra; Passucci, Juan Antonio; Epidemiology of Leptospira spp. infection in a beef cattle area of Argentina; Frontiers Media; Frontiers in Veterinary Science; 10; 1083024; 2-2023; 1-11  
dc.identifier.issn
2297-1769  
dc.identifier.uri
http://hdl.handle.net/11336/218329  
dc.description.abstract
Leptospirosis is an infectious disease caused by pathogenic Leptospira that affect humans and animals. This disease is complex and non-eradicable in nature. Therefore, the understanding of it is epidemiology in different environments is crucial to implement prevention and control measures. The prevalence of Leptospira infection in beef cattle farms is affected by multiple environmental, management and individual factors. In this study, a cross-sectional serological survey was carried on to estimate the prevalence of Leptospira antibodies in beef cattle in Tandil and Ayacucho Departments (Buenos Aires Province) and to identify risk factors and spatial clusters associated with seropositivity. Using a probabilistic two-stage sampling, 25 farms and 15 animals per farm were selected. The Microagglutination Test was used to analize all serum samples. Bivariate and multivariate analyses were performed. Seventy-three out of 375 cows were seropositive, representing a positivity rate of 19.47% (95% CI: 10.51–28.42), with Sejroe and Pomona being the most reactive serogroups: 9.33% (95% CI: 6.26–12.41) and 8.27% (95% CI: 5.35–11.19), respectively. The prevalence in Ayacucho was 23.11% (95% CI: 10.05–36.17), and in Tandil, 14% (95% CI: 3.25–24.75). The animals from Ayacucho presented 2.01 (1.16–3.49) more chances of being positive compared with those from Tandil (p < 0.01). After the Generalized Linear Mixed Model (GLMM) with random effect of farm-level risk, the presence of lagoons (OR: 7.32, 95% CI: 1.68–31.8, p < 0.05) and undulating terrain (OR: 0.24, 95% CI: 0.07–0.74, p < 0.05) were associated with bovine leptospirosis. Four spatial clusters with higher rates of seropositivity were detected. A new GLMM was performed with the significant variables detected in the first GLMM and a new variable, “being inside the spatial cluster,” being the only one that remained significant (OR: 9.58, 95% CI: 3.39–27.08, p < 0.0001). The animals inside the clusters belonged to farms with a greater presence of creeks (OR: 9.03, 95% CI: 3.37–24.18, p < 0.0001), higher accumulated rainfall (OR: 1.01, 95% CI: 1–1.01, p < 0.0001) and less undulating terrain (OR: 0.18, 95% CI: 0.10–0.35, p < 0.0001). We conclude that Leptospira is seroprevalent in beef cattle in Tandil and Ayacucho Departments, especially in the latter, where the largest cattle farms are located. Prevalence of seropositivity animals was associated with selected environmental risk factors.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Frontiers Media  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
ARGENTINA  
dc.subject
BEEF CATTLE  
dc.subject
LEPTOSPIRA  
dc.subject
RISK FACTORS  
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SEROPREVALENCE  
dc.subject
SPATIAL ANALYSIS  
dc.subject.classification
Otras Ciencias Veterinarias  
dc.subject.classification
Ciencias Veterinarias  
dc.subject.classification
CIENCIAS AGRÍCOLAS  
dc.title
Epidemiology of Leptospira spp. infection in a beef cattle area of Argentina  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-11-16T18:14:06Z  
dc.journal.volume
10  
dc.journal.number
1083024  
dc.journal.pagination
1-11  
dc.journal.pais
Suiza  
dc.journal.ciudad
Lausana  
dc.description.fil
Fil: Mazzanti, Mariana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentina  
dc.description.fil
Fil: Scialfa, Exequiel Alejandro. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Agronomía; Argentina  
dc.description.fil
Fil: Rivero, Mariana Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentina  
dc.description.fil
Fil: Passucci, Juan Antonio. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Veterinarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentina  
dc.journal.title
Frontiers in Veterinary Science  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fvets.2023.1083024/full  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fvets.2023.1083024