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Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area

Rumen flukes (Calicophoron daubneyi) represent a growing threat to the animal health, productivity and welfare of ruminants. The present study aimed to assess the spatial distribution of C. daubneyi infections in ruminants and to develop a predictive model of the environmental suitability for rumen...

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Autores principales: Bosco, Antonio, Nocerino, Martina, Santaniello, Mirella, Maurelli, Maria Paola, Cringoli, Giuseppe, Rinaldi, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469533/
https://www.ncbi.nlm.nih.gov/pubmed/34578154
http://dx.doi.org/10.3390/pathogens10091122
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author Bosco, Antonio
Nocerino, Martina
Santaniello, Mirella
Maurelli, Maria Paola
Cringoli, Giuseppe
Rinaldi, Laura
author_facet Bosco, Antonio
Nocerino, Martina
Santaniello, Mirella
Maurelli, Maria Paola
Cringoli, Giuseppe
Rinaldi, Laura
author_sort Bosco, Antonio
collection PubMed
description Rumen flukes (Calicophoron daubneyi) represent a growing threat to the animal health, productivity and welfare of ruminants. The present study aimed to assess the spatial distribution of C. daubneyi infections in ruminants and to develop a predictive model of the environmental suitability for rumen flukes in a Mediterranean area. A cross-sectional coprological survey was conducted in 682 sheep, 73 goat and 307 cattle farms located in the Basilicata region (southern Italy). Faecal samples collected were analysed using the FLOTAC technique. Geographical Information Systems (GIS) and statistical models were developed to determine environmental risk factors and to delimitate the areas at highest risk of infections in small ruminants. The results showed 7.9% (95% CI 6.05–10.27) of sheep farms, 2.7% (95% CI 0.48–10.44) of goat farms and 55.0% (95% CI 49.62–60.99) of cattle farms were infected by C. daubneyi. The areas with high predicted risk were situated in the western part of the region. The soil texture, land use and the presence of streams and brooks were the variables statistically significant (p < 0.05) in explaining the C. daubneyi distribution in the study area. The study confirms the importance of geospatial technology in supporting parasite control strategies in livestock and demonstrates that a combined use of different geostatistical techniques can improve the prediction of the C. daubneyi infection risk in ruminants.
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spelling pubmed-84695332021-09-27 Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area Bosco, Antonio Nocerino, Martina Santaniello, Mirella Maurelli, Maria Paola Cringoli, Giuseppe Rinaldi, Laura Pathogens Article Rumen flukes (Calicophoron daubneyi) represent a growing threat to the animal health, productivity and welfare of ruminants. The present study aimed to assess the spatial distribution of C. daubneyi infections in ruminants and to develop a predictive model of the environmental suitability for rumen flukes in a Mediterranean area. A cross-sectional coprological survey was conducted in 682 sheep, 73 goat and 307 cattle farms located in the Basilicata region (southern Italy). Faecal samples collected were analysed using the FLOTAC technique. Geographical Information Systems (GIS) and statistical models were developed to determine environmental risk factors and to delimitate the areas at highest risk of infections in small ruminants. The results showed 7.9% (95% CI 6.05–10.27) of sheep farms, 2.7% (95% CI 0.48–10.44) of goat farms and 55.0% (95% CI 49.62–60.99) of cattle farms were infected by C. daubneyi. The areas with high predicted risk were situated in the western part of the region. The soil texture, land use and the presence of streams and brooks were the variables statistically significant (p < 0.05) in explaining the C. daubneyi distribution in the study area. The study confirms the importance of geospatial technology in supporting parasite control strategies in livestock and demonstrates that a combined use of different geostatistical techniques can improve the prediction of the C. daubneyi infection risk in ruminants. MDPI 2021-09-02 /pmc/articles/PMC8469533/ /pubmed/34578154 http://dx.doi.org/10.3390/pathogens10091122 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bosco, Antonio
Nocerino, Martina
Santaniello, Mirella
Maurelli, Maria Paola
Cringoli, Giuseppe
Rinaldi, Laura
Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title_full Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title_fullStr Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title_full_unstemmed Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title_short Mapping the Spatial Distribution of the Rumen Fluke Calicophoron daubneyi in a Mediterranean Area
title_sort mapping the spatial distribution of the rumen fluke calicophoron daubneyi in a mediterranean area
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469533/
https://www.ncbi.nlm.nih.gov/pubmed/34578154
http://dx.doi.org/10.3390/pathogens10091122
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