There has been growing concern about bacterial resistance to antimicrobials in the farmed livestock sector. Attention has turned to sub-optimal use of antimicrobials as a driver of resistance. Recent reviews have identified a lack of data on the pattern of antimicrobial use as an impediment to the design of measures to tackle this growing problem. This paper reports on a study that explored use of antibiotics by dairy farmers and factors influencing their decision-making around this usage. We found that respondents had either recently reduced their use of antibiotics, or planned to do so. Advice from their veterinarian was instrumental in this. Over 70% thought reducing antibiotic usage would be a good thing to do. The most influential source of information used was their own veterinarian. Some 50% were unaware of the available guidelines on use in cattle production. However, 97% thought it important to keep treatment records. The Theory of Planned Behaviour was used to identify dairy farmers' drivers and barriers to reduce use of antibiotics. Intention to reduce usage was weakly correlated with current and past practice of antibiotic use, whilst the strongest driver was respondents' belief that their social and advisory network would approve of them doing this. The higher the proportion of income from milk production and the greater the chance of remaining in milk production, the significantly higher the likelihood of farmers exhibiting positive intention to reduce antibiotic usage. Such farmers may be more commercially minded than others and thus more cost-conscious or, perhaps, more aware of possible future restrictions. Strong correlation was found between farmers' perception of their social referents' beliefs and farmers' intent to reduce antibiotic use. Policy makers should target these social referents, especially veterinarians, with information on the benefits from, and the means to, achieving reductions in antibiotic usage. Information on sub-optimal use of antibiotics as a driver of resistance in dairy herds and in humans along with advice on best farm practice to minimize risk of disease and ensure animal welfare, complemented with data on potential cost savings from reduced antibiotic use would help improve poor practice.

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Bovine Tuberculosis (bTB) in cattle is a global health problem and eradication of the disease requires accurate estimates of diagnostic test performance to optimize their efficiency. The objective of this study was, through statistical meta-analyses, to obtain estimates of sensitivity (Se) and specificity (Sp), for 14 different ante-mortem and post-mortem diagnostic tests for bTB in cattle. Using data from a systematic review of the scientific literature (published 1934-2009) diagnostic Se and Sp were estimated using Bayesian logistic regression models adjusting for confounding factors. Random effect terms were used to account for unexplained heterogeneity. Parameters in the models were implemented using Markov Chain Monte Carlo (MCMC), and posterior distributions for the diagnostic parameters with adjustment for covariates (confounding factors) were obtained using the inverse logit function. Estimates for Se and/or Sp of the tuberculin skin tests and the IFN-γ blood test were compared with estimates published 2010-2015. Median Se for the single intradermal comparative cervical tuberculin skin (SICCT) test (standard interpretation) was 0.50 and Bayesian credible intervals (CrI) were wide (95% CrI 0.26, 0.78). Median Sp for the SICCT test was 1.00 (95% CrI 0.99, 1.00). Estimates for the IFN-γ blood test Bovine Purified Protein Derivative (PPD)-Avian PPD and Early Secreted Antigen target 6 and Culture Filtrate Protein 10 (ESAT-6/CFP10) ESAT6/CFP10 were 0.67 (95% CrI 0.49, 0.82) and 0.78 (95% CrI 0.60, 0.90) respectively for Se, and 0.98 (95% CrI 0.96, 0.99) and 0.99 (95% CrI 0.99, 1.00) for Sp. The study provides an overview of the accuracy of a range of contemporary diagnostic tests for bTB in cattle. Better understanding of diagnostic test performance is essential for the design of effective control strategies and their evaluation.

The number and proportion of CTX-M positive Escherichia coli organisms were determined in feces from cattle, chickens, and pigs in the United Kingdom to provide a better understanding of the risk of the dissemination of extended-spectrum ␤-lactamase (ESBL) bacteria to humans from food animal sources. Samples of bovine (n ‫؍‬ 35) and swine (n ‫؍‬ 20) feces were collected from farms, and chicken cecal contents (n ‫؍‬ 32) were collected from abattoirs. There was wide variation in the number of CTX-M-positive E. coli organisms detected; the median (range) CFU/g were 100 (100 ؋ 10 6 to 1 ؋ 10 6 ), 5,350 (100 ؋ 10 6 to 3.1 ؋ 10 6 ), and 2,800 (100 ؋ 10 5 to 4.7 ؋ 10 5 ) for cattle, chickens, and pigs, respectively. The percentages of E. coli isolates that were CTX-M positive also varied widely; median (range) values were 0.013% (0.001 to 1%) for cattle, 0.0197% (0.00001 to 28.18%) for chickens, and 0.121% (0.0002 to 5.88%) for pigs. The proportion of animals designated high-density shedders (>1 ؋ 10 4 CFU/g) of CTX-M E. coli was 3/35, 15/32, and 8/20 for cattle, chickens, and pigs, respectively. We postulate that high levels of CTX-M E. coli in feces facilitate the dissemination of bla CTX-M genes during the rearing of animals for food, and that the absolute numbers of CTX-M bacteria should be given greater consideration in epidemiological studies when assessing the risks of food-borne transmission.The emergence and spread of extended-spectrum beta-lactamases (ESBLs), particularly among Enterobacteriaceae, is well recognized as a threat to the efficacy of extended-spectrum cephalosporins for the treatment of serious infections (8,11,14,31,35). During the last 5 years, ESBLs belonging to the CTX-M family of enzymes have been reported from many countries from a variety of different food-producing animals, including cattle, chickens, and pigs (17,21,22,25), and these animals are recognized as reservoirs of extended-spectrum ␤-lactamase producers (12). The presence of CTX-M ESBLs in United Kingdom cattle was first reported in 2005 and 2006 (20, 37). More recently, CTX-M ESBL-positive Escherichia coli has also been detected in United Kingdom poultry flocks (32).Epidemiological studies often use selective agar to ascertain and report the presence or absence of CTX-M-producing bacteria in samples; however, the number of bacteria present in samples is usually not reported. Fecal carriage is an important factor for the spread of CTX-M ESBL bacteria among both human communities (34) and animals (1, 12, 15, 24) and will be influenced by factors such as previous treatment with antimicrobials (2, 4, 6). The dissemination of CTX-M E. coli in food production units may occur via fecal cross-contamination between groups of animals (or individuals), and the contamination of food derived from animals may occur during processing in the abattoir. Previous studies have shown that the number of E. coli O157 organisms shed in feces is an important factor for dissemination during slaughter and carcass processing (29). Therefore, the aim of t...

Additional Information:• This paper was accepted for publication in the journal Preventive Vet- Del Rio, V., Voller, F., Montibeller, G., Franco, L. A., Sribhashyam, S., Watson, E., Hartley, M., & Gibbens, J.2013. An integrated process and management tools for ranking multiple emerging threats to animal health. Abstract: The UK's Department for Environment, Food and Rural Affairs supports the use of systematic tools for the prioritisation of known and well defined animal diseases to facilitate long and medium term planning of surveillance and disease control activities. The recognition that emerging events were not covered by the existing disease-specific approaches led to the establishment of the Veterinary Risk Group (VRG), constituted of government officials and supporting structures, the risk management cycle and the emerging threat highlight report (ETHiR), to facilitate the identification, reporting and assessment of emerging threats to UK's animal health. Since its inception in November 2009 to the end of February 2011, the VRG reviewed 111 threats and vulnerabilities (T&V) reported through ETHiR. In July 2010 a decision support system based on multi-criteria-decision-analysis (MCDA) improved ETHiR to allow the systematic prioritisation of emerging T&V. The DSS, known as e-THiR, allows the regular ranking of emerging T&V by calculating a set of measurement indices related to the actual impact, possible impact on public perception, and level of available capabilities associated with every T&V. The systematic characterisation of the processes leading to the assessment of T&V by the VRG has led to a consistent, auditable and transparent approach to the identification and assessment of emerging risks. The use of MCDA to manage a portfolio of emerging risks represents a different and novel application of MCDA in a health related context. This paper describes and discusses the characterisation and management of emerging risks by the VRG since its inception, and results from a pilot application of the e-THiR system to a reduced set of emerging threats.