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Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling

Rumen fluke (Calicophoron daubneyi) has emerged as a prominent parasite of ruminants in Europe over the past decades. Epidemiological questions remain regarding this observed increase in prevalence as well as the prospect for future paramphistomosis risk. This study aimed to identify factors associa...

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Autores principales: Jones, Rhys Aled, Williams, Hefin Wyn, Mitchell, Sian, Robertson, Sara, Macrelli, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090577/
https://www.ncbi.nlm.nih.gov/pubmed/34658327
http://dx.doi.org/10.1017/S0031182021001761
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author Jones, Rhys Aled
Williams, Hefin Wyn
Mitchell, Sian
Robertson, Sara
Macrelli, Michele
author_facet Jones, Rhys Aled
Williams, Hefin Wyn
Mitchell, Sian
Robertson, Sara
Macrelli, Michele
author_sort Jones, Rhys Aled
collection PubMed
description Rumen fluke (Calicophoron daubneyi) has emerged as a prominent parasite of ruminants in Europe over the past decades. Epidemiological questions remain regarding this observed increase in prevalence as well as the prospect for future paramphistomosis risk. This study aimed to identify factors associated with the temporal−spatial prevalence of rumen fluke as measured by veterinary surveillance in a temperate region using zero-inflated negative binomial mixed modelling. Modelling revealed that summer rainfall, raindays and sunshine hours and mean winter temperature as significant positively associated climate variables for rumen fluke prevalence over space and time (P < 0.05). Rumen fluke prevalence was also higher in counties with higher cattle/sheep densities and was positively associated with rumen fluke case rates in the previous years (P < 0.05). Equivalent models for fasciolosis prevalence revealed no significant association with winter temperature and sunshine hours, (P > 0.05). These results confirm a strong association between rainfall and the prevalence of both fluke species in a temperate environment, likely due to the role of Galba truncatula as their intermediate snail host. It also highlights the potential added importance of winter temperature and sunshine hours in rumen fluke epidemiology when compared to liver fluke.
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spelling pubmed-100905772023-04-13 Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling Jones, Rhys Aled Williams, Hefin Wyn Mitchell, Sian Robertson, Sara Macrelli, Michele Parasitology Research Article Rumen fluke (Calicophoron daubneyi) has emerged as a prominent parasite of ruminants in Europe over the past decades. Epidemiological questions remain regarding this observed increase in prevalence as well as the prospect for future paramphistomosis risk. This study aimed to identify factors associated with the temporal−spatial prevalence of rumen fluke as measured by veterinary surveillance in a temperate region using zero-inflated negative binomial mixed modelling. Modelling revealed that summer rainfall, raindays and sunshine hours and mean winter temperature as significant positively associated climate variables for rumen fluke prevalence over space and time (P < 0.05). Rumen fluke prevalence was also higher in counties with higher cattle/sheep densities and was positively associated with rumen fluke case rates in the previous years (P < 0.05). Equivalent models for fasciolosis prevalence revealed no significant association with winter temperature and sunshine hours, (P > 0.05). These results confirm a strong association between rainfall and the prevalence of both fluke species in a temperate environment, likely due to the role of Galba truncatula as their intermediate snail host. It also highlights the potential added importance of winter temperature and sunshine hours in rumen fluke epidemiology when compared to liver fluke. Cambridge University Press 2022-02 2021-10-18 /pmc/articles/PMC10090577/ /pubmed/34658327 http://dx.doi.org/10.1017/S0031182021001761 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Research Article
Jones, Rhys Aled
Williams, Hefin Wyn
Mitchell, Sian
Robertson, Sara
Macrelli, Michele
Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title_full Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title_fullStr Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title_full_unstemmed Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title_short Exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (Calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
title_sort exploration of factors associated with spatial−temporal veterinary surveillance diagnoses of rumen fluke (calicophoron daubneyi) infections in ruminants using zero-inflated mixed modelling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090577/
https://www.ncbi.nlm.nih.gov/pubmed/34658327
http://dx.doi.org/10.1017/S0031182021001761
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