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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8469533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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