Bovine paramphistomosis in Galicia (Spain): Prevalence, intensity, aetiology and geospatial distribution of the infection

González-Warleta, Marta; Lladosa, Silvia; Castro-Hermida, José Antonio; Martínez-Ibeas, Ana María; Conesa, David; Muñoz, Facundo; López‐Quílez, Antonio; Manga-González, Yolanda; Mezo, Mercedes

doi:10.1016/j.vetpar.2012.09.006

Cited by 79 publications

(75 citation statements)

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“…This is consistent with the pattern of egg excretion observed in the definitive host. Importantly, in the case of C. daubneyi , the faecal egg counts were closely correlated with the number of parasites in the rumen [8, 13, 47]. A gradual increase in egg shedding would reflect a cumulative increase in fluke burdens due to continuous reinfection.…”

Section: Discussionmentioning

confidence: 99%

“…The climate in the region is classified as temperate maritime, with an average annual temperature of 11.6 °C and average annual cumulative rainfall of 1065 mm [22]. Infections caused by both F. hepatica and C. daubneyi had previously been diagnosed on the farm via necropsy of some cows in the slaughterhouse [13]. On our first visit to the farm, we were shown the fields where the cows were pastured.…”

Section: Methodsmentioning

confidence: 99%

“…Recent reports on the spatial distribution of paramphistomosis and fasciolosis explain the geographical heterogeneity in the probability of infection of livestock as a consequence of environmental factors driving the life-cycle of both IHs and trematodes [10–13]. However, as environmental (both abiotic and biotic) factors vary significantly throughout the year, the risk of infection also varies, and the temporary fluctuations in this parameter must therefore also be taken into account in epidemiological studies.…”

Section: Introductionmentioning

confidence: 99%

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Transmission of Calicophoron daubneyi and Fasciola hepatica in Galicia (Spain): Temporal follow-up in the intermediate and definitive hosts

et al. 2016

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BackgroundParamphistomosis caused by Calicophoron daubneyi and fasciolosis caused by Fasciola hepatica are common parasitic diseases of livestock animals. Transmission of the diseases depends on the presence of intermediate hosts, i.e. freshwater gastropods such as lymnaeids. We carried out a 2-year-long study of the dynamics of the snail population acting as the intermediate host for these parasites, considering the population structure in terms of size/age and infection status. In addition, we determined the kinetics of trematode egg excretion in grazing cows. Generalized Additive Models (GAMs) were used to analyze the associations between different response variables and snail size, sampling month and weather-related variables.ResultsOf the molluscan species examined, Galba truncatula, Radix peregra, Anisus (Anisus) leucostoma and Pisidium casertanum (n = 2802), only G. truncatula was infected with C. daubneyi or F. hepatica, at prevalence rates of 8.2% and 4.4% respectively. The probability of infection with C. daubneyi or F. hepatica was linearly related to snail size, although in different ways (negative for C. daubneyi and positive for F. hepatica). The total snail population increased in winter, when specimens of all size classes were found. Infected snails were more abundant during spring-autumn. Mature cercariae of both parasites were found in most seasons. In the statistical models, the sampling month accounted for a high percentage (71.9–78.2%) of the observed variability in snail abundance. The inclusion of climatic variables in the models moderately increased the percentage of deviance explained (77.7–91.9%). Excretion of C. daubneyi eggs in cow faeces was always higher than that of F. hepatica eggs.ConclusionsParticular care should be taken to prevent pastures and the surrounding environment being contaminated with parasite eggs during winter-spring, when the number of snails susceptible to miracidial infections is maximal. This is therefore the optimal time for treating grazing animals. Nevertheless, control of trematodosis based only on chemotherapy is difficult in an area such as the study area, where environmental factors favour the regular appearance of snail populations harbouring mature cercariae.Electronic supplementary materialThe online version of this article (doi:10.1186/s13071-016-1892-8) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Transmission of Calicophoron daubneyi and Fasciola hepatica in Galicia (Spain): Temporal follow-up in the intermediate and definitive hosts

et al. 2016

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“…This kind of approach is also known as Bayesian kriging (Handcock and Stein, 1993). Bayesian geostatistical models have been largely applied in the mapping of malaria (Craig et al, 2007;Gemperli et al, 2004;Gosoniu et al, 2012;Haining et al, 2007;Hay et al, 2009;Kazembe et al, 2006;Raso et al, 2012;Schur et al, 2011;Wardrop et al, 2010), and neglected tropical diseases (Batchelor et al, 2009;Clements et al, 2009Clements et al, , 2010González-Warleta et al, 2013;Raso et al, 2005;Schur et al, 2011;Wardrop et al, 2010); but also in veterinary epidemiology (Biggeri et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

“…Along with introducing the package geostatsinla for performing geostatistics with INLA in an easy way, Brown (2015) applies it in the context of mapping the Loa loa filariasis disease [a dataset previously cited in Diggle and Ribeiro (2007)]. Moreover, Karagiannis-Voules et al (2013) have used Bayesian geostatistical negative binomial models to analyse reported incidence data of cutaneous and visceral leishmaniasis in Brazil covering a 10-year period, while González-Warleta et al (2013) have also used Bayesian geostatistical binomial models to predict the probability of infection of paramphistomosis in Galicia (NW Spain).…”

Section: Introductionmentioning

confidence: 99%

Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

et al. 2016

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Modelling patterns of the spatial incidence of diseases using local environmental factors has been a growing problem in the last few years. Geostatistical models have become popular lately because they allow estimating and predicting the underlying disease risk and relating it with possible risk factors. Our approach to these models is based on the fact that the presence/absence of a disease can be expressed with a hierarchical Bayesian spatial model that incorporates the information provided by the geographical and environmental characteristics of the region of interest. Nevertheless, our main interest here is to tackle the misalignment problem arising when information about possible covariates are partially (or totally) different than those of the observed locations and those in which we want to predict. As a result, we present two different models depending on the fact that there is uncertainty on the covariates or not. In both cases, Bayesian inference on the parameters and prediction of presence/absence in new locations are made by considering the model as a latent Gaussian model, which allows the use of the integrated nested Laplace approximation. In particular, the spatial effect is implemented with the stochastic partial differential equation approach. The methodology is evaluated on the presence of the Fasciola hepatica in Galicia, a North-West region of Spain.

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Prevalence and risk factors associated with amphistome parasites in cattle in Iran

Hajipour

Mirshekar

Hajibemani

et al. 2020

Veterinary Medicine & Sci

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Amphistomiasis, a neglected trematode infection of ruminants, has recently come up as an important reason for economic losses. The aim of this study was to determine the prevalence of bovine amphistomiasis and associated risk factors such as: age, gender, breed, season, water source, pastureland and grazing system. Between January 2016 and 2017, a total of 1,000 faecal samples and 1,000 rumens of cattle were collected from slaughterhouse of Zabol, Iran ante‐mortem and post‐mortem, respectively, and examined. The overall prevalence was 34.6% and 19.5% in terms of amphistome adults and eggs respectively. The identified amphistome species and their prevalence were Paramphistomumcervi (13.3%), Cotylophoroncotylophorum (19.5%), Gastrothylaxcrumenifer (5.9%) and Carmyeriusspatiosus (2.7%). The correlation between prevalence and season, age, breed, water source, pastureland and grazing system was significant (p < .0001). The presented information about the prevalence of amphistomes of cattle and individual and management risk factors can be used to design appropriate control measures.

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Bovine paramphistomosis in Galicia (Spain): Prevalence, intensity, aetiology and geospatial distribution of the infection

Abstract: 39This study explored various aspects of the epidemiology of paramphistomosis in

Cited by 79 publications

References 47 publications

Transmission of Calicophoron daubneyi and Fasciola hepatica in Galicia (Spain): Temporal follow-up in the intermediate and definitive hosts

Transmission of Calicophoron daubneyi and Fasciola hepatica in Galicia (Spain): Temporal follow-up in the intermediate and definitive hosts

Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Prevalence and risk factors associated with amphistome parasites in cattle in Iran

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