Increased prevalence and geographic spread of the cardiopulmonary nematode Angiostrongylus vasorum in fox populations in Great Britain.

The nematode Angiostrongylus vasorum is becoming more widely recorded globally, and is of increasing concern as a cause of disease in dogs. Apparent geographic spread is difficult to confirm due to a lack of standardized disease recording systems, increasing awareness among veterinary clinicians, and recent improvements in diagnostic technologies. This study examines the hypothesis that A. vasorum has spread in recent years by repeating the methods of a previous survey of the fox population. The hearts and lungs of 442 foxes from across Great Britain were collected and examined by dissection and flushing of the pulmonary circulation and microscopic inspection of tracheal scrapes. Sampling and parasite extraction methods were identical to an earlier survey in 2005 to ensure comparability. Prevalence of A. vasorum was 18·3% (exact binomial confidence bounds 14·9-22·3), compared with 7·3% previously (5·3-9·9, n = 546), and had increased significantly in most regions, e.g. 7·4% in the Northern UK (previously zero) and 50·8% in the south-east (previously 23·2%). Other nematodes identified were Crenosoma vulpis (prevalence 10·8%, CI 8·1-14·2) and Eucoleus aerophilus (31·6%, CI 27·3-36·2). These data support the proposal that A. vasorum has increased in prevalence and has spread geographically in Great Britain.

Anthelmintic resistance in sheep flocks in Ontario, Canada.

Gastrointestinal nematodes (GIN) are a significant constraint to pasture-based sheep production worldwide. Anthelmintic resistance (AR) has been reported in most sheep-raising areas in the world, yet little is known about the AR status in Canada. This study was conducted to determine the frequency of AR in GIN in sheep flocks in Ontario, Canada. Forty-seven sheep flocks were enrolled in the study, and their level of parasitism was monitored monthly throughout a grazing season by analyzing owner-acquired fecal samples from 15 grazing lambs per flock. When the mean GIN fecal egg count (FEC) reached a threshold of 200 eggs per gram (epg), oral ivermectin was supplied to producers to check ivermectin efficacy; the reduction in mean FEC 14 days after ivermectin treatment was calculated. 'Drench failure' was defined as a reduction in mean FEC of <95%. In those flocks with apparent drench failure, researchers performed a Fecal Egg Count Reduction Test (FECRT), dividing sheep into 4 treatment groups (n=10-15): control (i.e. untreated), ivermectin, and, if sufficient numbers of animals - fenbendazole and levamisole. AR was defined as a reduction in mean FEC <95% and a lower 95% confidence interval <90%. Larval cultures were performed on pooled post-treatment FECRT samples. Larval Development Assays (LDAs) to detect the presence of resistance to thiabendazole and levamisole were performed prior to the ivermectin drench check on pooled owner-acquired fecal samples that reached the 200 epg threshold. Approximately 89% (42/47) of the farms reached the FEC threshold of 200 epg; 93% (39/42) of these farms performed an ivermectin drench check, and 88% (34/39) of these farms had drench failure. The FECRT was performed on 29 of the 34 farms. Resistance to ivermectin, fenbendazole and levamisole was demonstrated on 97% (28/29), 95% (19/20) and 6% (1/17) of the farms tested, respectively, with considerable variability in resistance levels among farms. Haemonchus sp. was the most commonly cultured parasite from post-treatment fecal samples. LDA results for 21 farms were available; of these, 14% (3/21) and 62% (13/21) had low and high levels of thiabendazole resistance, respectively, while none of the farms exhibited resistance to levamisole. Amongst these tested farms, resistance to both ivermectin and benzimidazoles was very common. These findings strongly suggest that AR, particularly in Haemonchus sp., is a serious problem in these sheep flocks. Thus, marked changes in GIN management need to be instituted immediately to mitigate a worsening situation.

A diagnostic study of Echinococcus multilocularis in red foxes (Vulpes vulpes) from Great Britain.

Alveolar echinococcosis is caused by a parasitic tapeworm Echinococcus multilocularis and is a serious disease with high fatality in humans. The definitive primary host is the red fox (Vulpes vulpes) but domestic animals (dogs and to a lesser extent cats) as well as several genera of rodents can also be infected with the parasite. There is, to date, no evidence of indigenous cases of E. multilocularis in Great Britain (GB) but in most of continental Europe the parasite is considered to be endemic and/or slowly spreading. All pet dogs entering the United Kingdom (UK) under the pet travel scheme (PETS) are therefore currently treated with an anthelmintic effective against Echinococcus spp. Surveillance of red foxes is required to demonstrate disease freedom and maintain this regulation to prevent further geographical spread of the parasite to free areas within the EU. A study of 588 wild red foxes collected from across Great Britain (GB) between October 1999 and November 2000 found no Echinococcus spp. This report describes a further study of GB foxes collected predominately during 2005 and 2006. Fox faecal samples (n=384) were examined for both E. multilocularis and Echinococcus granulosus using an egg isolation procedure followed by PCR method, based on published primer sets. A non-specific primer set that amplifies Taenia spp. as well as Mesocestoides, Dipylidium and Diphyllobothrium was also included in the assay to validate the test procedure as these parasites are expected to be more common in wild fox populations. All faecal samples tested negative for both E. multilocularis and E. granulosus but results for approximately 35% of the samples indicated the presence of Taenia spp. or other closely related cestodes. This data contributes to the evidence that suggests that E. multilocularis is not present in mainland Britain and justifies the requirement for ongoing surveillance to demonstrate disease freedom.

A computer simulation study to evaluate resistance development with a derquantel-abamectin combination on UK sheep farms.

UK guidelines for the sustainable control of parasites in sheep (SCOPS) aim to delay further development of anthelmintic drug resistance. This study describes a computer model evaluation of resistance development with a novel oral formulation of derquantel-abamectin, to inform recommendations for use. Two different farm management scenarios, based on UK field data, were modelled to simulate low refugia (non SCOPS) or high refugia (SCOPS) worm populations. The effect on resistance allele frequencies and field efficacy of several treatment scenarios using the novel active derquantel (DQL), a spiroindole (SI), as either a single or multiple active formulation with abamectin (ABA), a macrocyclic lactone (ML), under the two farm management systems was evaluated. The initial resistance allele frequency for DQL was set at 0.0001, assuming that resistance in the UK is low, and for ML at 0.165 or 0.8, assuming that resistant nematode populations exist in the UK. DQL resistance reached a level at which a reduction in field efficacy might be detected (resistance allele frequency 0.25) by year 16 when used sequentially, and by year 31 when used in annual rotation (ABA) with SCOPS management inputs, and by year 5 (sequential) and by year 10 (annual rotation) with non SCOPS management inputs. ML resistance reached a level at which a reduction in ABA field efficacy might be detected (resistance allele frequency 0.25) by year 4 when used sequentially, and by year 8 when used in annual rotation with DQL and SCOPS management inputs, and by year 1 (sequential) and by year 2 (annual rotation) with non SCOPS management inputs. No detectable reduction in field efficacy was observed for DQL-ABA after 40 years of use with SCOPS management inputs for simulations using an initial ML resistance allele frequency of 0.165 and 0.8. A detectable reduction in field efficacy was observed for DQL-ABA by year 32 (initial ML resistance allele frequency=0.165) and by year 6 (initial ML resistance allele frequency=0.8) with non SCOPS management inputs. In summary, the results suggest that formulating DQL in combination with ABA confers a substantial advantage in delaying the development of both DQL and ML resistance, and the provision of adequate refugia further extends this advantage.

Bat population genetics and Lyssavirus presence in Great Britain.

Most lyssaviruses appear to have bat species as reservoir hosts. In Europe, of around 800 reported cases in bats, most were of European bat lyssavirus type 1 (EBLV-1) in Eptesicus serotinus (where the bat species was identified). About 20 cases of EBLV-2 were recorded, and these were in Myotis daubentonii and M. dasycneme. Through a passive surveillance scheme, Britain reports about one case a year of EBLV-2, but no cases of the more prevalent EBLV-1. An analysis of E. serotinus and M. daubentonii bat genetics in Britain reveals more structure in the former population than in the latter. Here we briefly review these differences, ask if this correlates with dispersal and movement patterns and use the results to suggest an hypothesis that EBLV-2 is more common than EBLV-1 in the UK, as genetic data suggest greater movement and regular immigration from Europe of M. daubentonii. We further suggest that this genetic approach is useful to anticipate the spread of exotic diseases in bats in any region of the world.

Evaluation of a British computer model to simulate gastrointestinal nematodes in sheep on Canadian farms.

With increasing levels of anthelmintic resistance worldwide and a growing demand to produce more organic products, utilisation of control strategies for gastrointestinal nematodes (GIN) that minimize the use of anthelmintics becomes even more important. This study evaluated the farm-level performance of an existing predictive sheep parasite model from the United Kingdom (UK), using Canadian data. The UK model simulates the epidemiology of three major GIN species of interest (Teladorsagia spp., Haemonchus spp. and Trichostrongylus spp.) and provides a prediction about seasonal parasite levels of lambs and ewes. Model inputs were generated by using data from the first 2 years of a 3-year study (2006-2008) which examined the epidemiology of GIN parasitism in Ontario sheep flocks. Required input data included ewe parasite egg output, pasture-related information and management dynamics. Farm visits in 2006 and 2007 provided relevant data that were collected monthly during the grazing season, on six and seven occasions respectively. These data were collected from 10 ewes and 10 lambs on each farm. For 23 Ontario farms with available data, only 11 farms in 2006 and 14 in 2007 had suitable data to run in the model because the Canadian study was not specifically designed with this simulation model in mind. Observed values for faecal egg counts (FEC) were compared to the model FEC outputs and assessed using linear regression analysis. There was adequate fit between observed and simulated data for 8 of the 11 farms modelled using data generated in 2006 (F=7.55-42.66, df=10-11, R(2)=0.43-0.81, p=0.021 to <0.001) and with 8 of the farms modelled using data generated in 2007 (F=5.56-35.82, df=9-11, R(2)=0.36-0.82, p=0.040 to <0.001). We suggest that the poor fit between observed and simulated data for some data sets may be attributable to low-level infection on farms making regression difficult due to insensitivity of the egg count method at low values, or a pattern for immunity in ewes that contradicted the model assumptions. Required model modifications focused on accommodating the differences between UK and Canadian management styles; specifically the practice of bringing lambs indoors for weaning which was sometimes used on Canadian farms.

Mapping risk foci for endemic sheep scab.

Psoroptic mange in sheep, resulting from infestation by the astigmatid mite Psoroptes ovis, is increasingly prevalent in Europe and other parts of the world. As a step towards improved national control, regional or local scab management programmes that target high-risk areas and aim to maintain the number of outbreaks below an acceptable level may be an effective initial use of time and resource. To facilitate such a management approach, in this paper scab outbreak farms are identified using a questionnaire survey of sheep farmers, the data from which are then used to build a national scab risk model for Great Britain. The questionnaire results indicate a national prevalence of scab, between March 2007 and February 2008, of 8.6% (+/-1.98). However, previous exposure to sheep scab significantly affected the respondent's probability of reporting a scab outbreak during the survey period (chi(2)=53.2, d.f.=1, P<0.001); 85% of the farms that reported at least one scab outbreak had experienced outbreaks in previous years, 27% had experienced outbreaks in more than five of the previous 10 years. In contrast, 76% of farms that did not report scab had not had a previous outbreak. The highest prevalence areas were in Northern England, Wales, Southwest England and Scotland. Modelling the distribution of the reported scab outbreaks identified height above sea level, temperature and rainfall as significant predictors of the probability of an outbreak, superimposed on an underlying pattern of sheep abundance. It is argued that scab management programmes directed at these foci have the potential to allow a more targeted approach to scab control and significantly reduce the prevalence of scab in the UK and other European countries.

Development of a real-time PCR assay for the detection of Trichinella spiralis in situ.

Trichinellosis is a widespread zoonotic disease caused by nematodes of the genus Trichinella. Most human infections are caused by Trichinella spiralis, with pig meat being the main source of infection. As a consequence, all countries in the EU inspect slaughtered animals to prevent the distribution of infected meat to consumers. However, Trichinella spp. infect nearly all orders of mammals and so wildlife monitoring is often required in regions that want to provide evidence of negligible risk of infection in pigs. Surveys of the parasite in the Red fox are generally accepted as evidence of the wildlife reservoir. The EU reference method of detection in food animals for human consumption involves digestion of the host muscle followed by microscopic screening of the resultant sediment for trichinae and the method has been adapted for use with foxes. This work describes the development of a real-time PCR assay for the detection of Trichinella in fox tissue. The assay was designed to the Internal Transcribed Spacer 2 region of the Trichinella genome. Initial assay development was carried out using infected mouse tissue, as positive foxes have not been reported in the UK since 1957. The developed assay, which was shown to be specific for T. spiralis, was then tested using fox muscle spiked with isolated larvae at the rate of 1 larva per gram (LPG) of muscle tissue, as this is the theoretical detection limit using the digest method, as well as 0.5 and 0.1 LPG. The PCR assay was shown to detect the larvae at the higher infection rates and, by testing dilutions of the extracted DNA, it was demonstrated that a potential limit of detection of approx. 0.01 larvae per gram of tissue homogenate may be possible.

A computer model to simulate control of parasitic gastroenteritis in sheep on UK farms.

A computer model that simulates the population dynamics and epidemiology of three major species of parasitic nematodes of sheep found in the UK (Telodorsagia [Ostertagia] spp., Haemonchus spp. and Trichostrongylus spp.) is described. The model has been developed as a tool for veterinarians and advisors to aid in the implementation of integrated parasite control strategies designed to optimise anthelmintic usage and delay the development of resistance on UK farms. The model represents the parasite life cycle, flock dynamics and the response of individuals with different susceptible and resistant genotypes to the major broad-spectrum classes of anthelmintic available in the UK. Where possible, UK data have been used for the model parameters. The model allows worm control simulations on individual UK farms. Inputs include environmental and farm management variables which impact on the epidemiology of the disease, e.g. regional weather data; flock stocking rates; initial pasture larval contamination levels and species proportions; lambing dates; timing of flock movements to clean pastures; and removal of lambs during the year. Farm management data, as well as nematode egg outputs and grass larval counts, were collected from eight UK farms over a 1-year period for initial validation of the model outputs. The management data for each farm were used as inputs for each model run and model outputs for nematode egg counts from ewes and lambs were compared to the observed data for each farm. Statistical analysis of results shows a positive correlation for observed and simulated counts and regression analysis suggests an acceptable fit between the data. Comparison of observed and simulated outputs for resistance were possible for only one farm due to low numbers of worms developing in the laboratory tests. Additional studies will be necessary before resistance data can be reliably compared. Further validation studies are proposed to ensure that the model is robust and applicable across a diverse range of farm types. The model will be used to demonstrate the advantage, in terms of delaying resistance development, of current guidelines for anthelmintic use and management practices for worm control in sheep.