The application of risk analysis in aquatic animal health management

Risk analysis has only been regularly used in the management of aquatic animal health in recent years. The Agreement on the Application of Sanitary and Phytosanitary measures (SPS) stimulated the application of risk analysis to investigate disease risks associated with international trade (import risk analysis-IRA). A majority (9 of 17) of the risk analyses reviewed were IRA. The other major focus has been the parasite of Atlantic salmon--Gyrodactylus salaris. Six studies investigated the spread of this parasite, between countries, rivers and from farmed to wild stocks, and clearly demonstrated that risk analysis can support aquatic animal health policy development, from international trade and biosecurity to disease interaction between wild and farmed stocks. Other applications of risk analysis included the spread of vertically transmitted pathogens and disease emergence in aquaculture. The Covello-Merkhofer, risk analysis model was most commonly used and appears to be a flexible tool not only for IRA but also the investigation of disease spread in other contexts. The limitations of the identified risk assessments were discussed. A majority were qualitative, partly due to the lack of data for quantitative analysis, and this, it can be argued, constrained their usefulness for trade purposes (i.e. setting appropriate sanitary measures); in other instances, a qualitative result was found to be adequate for decision making. A lack of information about the disease hazards of the large number of fish species traded is likely to constrain quantitative analysis for a number of years. The consequence assessment element of a risk analysis was most likely to be omitted, or limited in scope and depth, rarely extending beyond examining the evidence of susceptibility of farmed and wild species to the identified hazard. The reasons for this are discussed and recommendations made to develop guidelines for a consistent, systematic and multi-disciplinary approach to consequence assessment. Risk analysis has improved decision making in aquatic animal health management by providing a transparent method for using the available scientific information. The lack of data is the main constraint to the application of risk analysis in aquatic animal health. The identification of critical parameters is an important output from risk analysis models which should be used to prioritise research.     

动物疫病风险分析的产生、演变和发展

动物疫病风险分析是研究动物疫病风险的产生、发展,对人与畜牧业危害,以及如何有效控制的一门新型学科,其主要作用是使动物卫生管理工作中的决策更具有科学性、透明性和客观性。本文对动物疫病风险分析的概念、演变过程及其在国际上的发展及应用情况进行综述,以期为我国动物疫病工作从应急治疗式管理向风险预警式管理转变提供借鉴。     

浅析圈养动物丰容

在过去的几十年内圈养动物的福利逐渐被认同,动物丰容与行为训练等新术语开始在研究领域内出现,相应的报道也日益增加。丰容和行为训练已经不仅仅是动物园系统的术语,而是动物学的一个名词。本文综述了丰容的概念、丰容的由来以及丰容的意义和方式。丰容方式包括环境丰容、认知丰容、感官丰容、食物丰容和社群丰容等五类,其中行为训练是认知丰容的一种方法。     

Airborne spread of foot-and-mouth disease – Model intercomparison

Foot-and-mouth disease virus (FMDV) spreads by direct contact between animals, by animal products (milk, meat and semen), by mechanical transfer on people or fomites and by the airborne route, with the relative importance of each mechanism depending on the particular outbreak characteristics. Atmospheric dispersion models have been developed to assess airborne spread of FMDV in a number of countries, including the UK, Denmark, Australia, New Zealand, USA and Canada. These models were compared at a Workshop hosted by the Institute for Animal Health/Met Office in 2008. Each modeller was provided with data relating to the 1967 outbreak of FMD in Hampshire, UK, and asked to predict the spread of FMDV by the airborne route.A number of key issues emerged from the Workshop and subsequent modelling work: (1) in general all models predicted similar directions for livestock at risk, with much of the remaining differences strongly related to differences in the meteorological data used; (2) determination of an accurate sequence of events on the infected premises is highly important, especially if the meteorological conditions vary substantially during the virus emission period; (3) differences in assumptions made about virus release, environmental fate and susceptibility to airborne infection can substantially modify the size and location of the downwind risk area. All of the atmospheric dispersion models compared at the Workshop can be used to assess windborne spread of FMDV and provide scientific advice to those responsible for making control and eradication decisions in the event of an outbreak of disease.     

Animal models of traumatic brain injury: a review

OBJECTIVE: To review the main types of animal models of traumatic brain injury (TBI), their desirable characteristics and limitations, the major structural changes in the brain modelled, and special features of paediatric TBI modelling. CONCLUSION: Animal models have contributed substantially to our understanding of the mechanisms of TBI in humans, but many aspects of closed head injury remain to be elucidated and effective neuroprotective agents are few. Many of the advances in the pathogenesis of human TBI also have application in veterinary medicine and there is ample opportunity for veterinarians to contribute to the selection, development and characterisation of potential animal models of neurotrauma and other disorders and ensure that animal welfare standards are maintained.     

Policy-driven development of cost-effective, risk-based surveillance strategies

Animal health and residue surveillance verifies the good health status of the animal population, thereby supporting international free trade of animals and animal products. However, active surveillance is costly and time-consuming. The development of cost-effective tools for animal health and food hazard surveillance is therefore a priority for decision-makers in the field of veterinary public health. The assumption of this paper is that outcome-based formulation of standards, legislation leaving room for risk-based approaches and close collaboration and a mutual understanding and exchange between scientists and policy makers are essential for cost-effective surveillance. We illustrate this using the following examples: (i) a risk-based sample size calculation for surveys to substantiate freedom from diseases/infection, (ii) a cost-effective national surveillance system for Bluetongue using scenario tree modelling and (iii) a framework for risk-based residue monitoring. Surveys to substantiate freedom from infectious bovine rhinotracheitis and enzootic bovine leucosis between 2002 and 2009 saved over 6 million € by applying a risk-based sample size calculation approach, and by taking into account prior information from repeated surveys. An open, progressive policy making process stimulates research and science to develop risk-based and cost-efficient survey methodologies. Early involvement of policy makers in scientific developments facilitates implementation of new findings and full exploitation of benefits for producers and consumers.     

The expanding role of animal welfare within EU legislation and beyond

Animal welfare is being accorded an increasingly important role in today's civil society. Within the EU, this has been enshrined within the specific “Protocol on Protection and Welfare of Animals” annexed to the EC Treaty, obliging Member States and the EU Institutions to pay full regard to the welfare of animals when formulating and implementing Community legislation. There is a growing body of EU legislation on this issue, founded on sound scientific principles (including the role of EFSA in providing independent scientific advice), taking account of public concerns, stakeholder input and possible socio-economic implications. Recent CAP reforms also testify to animal welfare's growing stature in policy-making, with the introduction of the principle of cross-compliance regarding eligibility for direct payments and additional financial incentives for producers to achieve higher standards. Animal welfare is being increasingly perceived as an integral element of overall food quality, having important knock-on effects on animal health and food safety. On a worldwide level, the OIE (World Organisation for Animal Health) has embarked on an initiative to develop global animal welfare guidelines and standards mandated by 167 member countries and the issue remains on the agenda for future WTO negotiations. Consumers demand higher standards of animal protection and it is incumbent upon policy-makers and legislators to respond accordingly.     

Review of mathematical models for sow herd management

This paper is a survey of the different sow models described in literature, which made use of different mathematical methodologies, and were intended for sow herd management. Models were discussed under a wide classification, that is, simulation and optimisation. The latter included linear programming and dynamic programming with Markov decision models and optimal control as major representative models. In a first stage we recalled general traits and modelling foundations of herd management models and later, different aspects of sow herd models published up to now were reviewed. Special attention is paid to main variables, source of parameters, validation, output and intended use. Most of such models have been developed as research tools and teaching aids. Actually, the increasing ability to represent complex systems is not corresponded with an augmentation of decision support tools including such complex models in field conditions. Thus, a need of new proposals dealing with transient situations and non-time homogeneous parameters was detected. The inclusion of variability-risk features and multicriteria decision methods was also of interest for practical purposes. Actual changes in the pig sector lead to expect new management herd models, in particular considering more than one herd at a time.     

Animal health surveillance applications: The interaction of science and management

Animal health surveillance is an ever-evolving activity, since health- and risk-related policy and management decisions need to be backed by the best available scientific evidence and methodology. International organizations, trade partners, politicians, media and the public expect fast, understandable, up-to-date presentation and valid interpretation of animal disease data to support and document proper animal health management - in crises as well as in routine control applications. The delivery and application of surveillance information need to be further developed and optimized, and epidemiologists, risk managers, administrators and policy makers need to work together in order to secure progress. Promising new developments in areas such as risk-based surveillance, spatial presentation and analysis, and genomic epidemiology will be mentioned. Limitations and areas in need of further progress will be underlined, such as the general lack of a wide and open exchange of international animal disease surveillance data. During my more than 30 year career as a professor of Veterinary Epidemiology I had the good fortune of working in challenging environments with different eminent colleagues in different countries on a variety of animal health surveillance issues. My career change from professor to Chief Veterinary Officer (CVO) - "from science to application" - was caused by my desire to see for myself if and how well epidemiology would actually work to solve real-life problems as I had been telling my students for years that it would. Fortunately it worked for me! The job of a CVO is not that different from that of a professor of Veterinary Epidemiology; the underlying professional principles are the same. Every day I had to work from science, and base decisions and discussions on documented evidence - although sometimes the evidence was incomplete or data were simply lacking. A basic understanding of surveillance methodology is very useful for a CVO, since it provides a sound working platform not only for dealing with immediate questions when new or emerging disease situations arise, but also for more long-term activities, such as policy development, contingency planning and trade negotiations. Animal health issues, which emerged during my eight years as a CVO in Denmark from 1999 to 2007, will be used as examples, including BSE, FMD, HPAI and Trichinella testing. Emphasis will be placed on how science-based surveillance methodology and tools were developed, applied and documented.     

Challenging the myth of the irrational dairy farmer; understanding decision-making related to herd health

Veterinarians working with dairy cows are suggested to refocus their efforts from being task-oriented providers of single-cow therapy and develop themselves into advice-oriented herd health management advisors. The practising cattle veterinarian's ability to translate knowledge into on-farm application requires a profound understanding of the dairy farm as an integrated system. Consequently, educating and motivating farmers are key issues. To achieve such insight the veterinarian needs to work with several scientific disciplines, especially epidemiology and (behavioural) economics. This trans-disciplinary approach offers new methodological possibilities and challenges to students of dairy herd health management. Advisors working with dairy herd health management may sometimes experience that farmers do not follow their advice. Potentially, this could lead to the interpretation that such farmers are behaving irrationally. However, farmers who are confronted with advice suggesting a change of behaviour are placed in a state of cognitive dissonance. To solve such dissonance they may either comply with the advice or reduce the dissonance by convincing themselves that the suggested change in management is impossible to implement. Consequently, herd health management advisors must understand the fundamental and instrumental relationships between individual farmers' values, behaviour and perception of risk, to stimulate and qualify the farmer's decision-making in a way that will increase the farmer's satisfaction and subjective well-being. Traditionally, studies on herd health economics have focussed on financial methods to measure the value of technical outcomes from suggested changes in management, following the basic assumption that farmers strive to maximise profit. Farmers, however, may be motivated by very different activities, e.g. animal health and welfare or other farmers' recognition, making it impossible to provide 'one-size-fts-all' consultancy because the best decision depends heavily on the internal logic and context-bound reality on each dairy farm. Relevant information may be available, but to be implemented at farm level it has to be communicated effectively. This requires a trustworthy communicator. Consequently, veterinarians are recommended to receive training in communication; keywords in this process are dialogue and reflection. An educational framework based on science and the authors' experience is presented. The aim is to guide practising cattle veterinarians into a personal learning process considered necessary for them to be recognised by farmers as trustworthy dairy herd health advisors.     

Issues and special features of animal health research

ABSTRACT: In the rapidly changing context of research on animal health, INRA launched a collective discussion on the challenges facing the field, its distinguishing features, and synergies with biomedical research. As has been declared forcibly by the heads of WHO, FAO and OIE, the challenges facing animal health, beyond diseases transmissible to humans, are critically important and involve food security, agriculture economics, and the ensemble of economic activities associated with agriculture. There are in addition issues related to public health (zoonoses, xenobiotics, antimicrobial resistance), the environment, and animal welfare.Animal health research is distinguished by particular methodologies and scientific questions that stem from the specific biological features of domestic species and from animal husbandry practices. It generally does not explore the same scientific questions as research on human biology, even when the same pathogens are being studied, and the discipline is rooted in a very specific agricultural and economic context.Generic and methodological synergies nevertheless exist with biomedical research, particularly with regard to tools and biological models. Certain domestic species furthermore present more functional similarities with humans than laboratory rodents.The singularity of animal health research in relation to biomedical research should be taken into account in the organization, evaluation, and funding of the field through a policy that clearly recognizes the specific issues at stake. At the same time, the One Health approach should facilitate closer collaboration between biomedical and animal health research at the level of research teams and programmes.     

CRISPR/Cas9基因敲除研究进展

功能基因组学的发展促进基因敲除技术的进步,基因敲除技术从载体的构建到细胞筛选再到动物模型都取得长足进步。基因敲除手段种类繁多,其中CRISPR/Cas9作为常用的基因编辑技术,具有高效、便捷、精确等优点,在农业、医学、生物学的模型构建中被广泛运用。随着科研工作的逐渐深入,CRISPR/Cas9技术逐渐渗透到植物和微生物研究领域中。文章综述近年来CRISPR/Cas9的应用,为科研工作的开展提供参考。     

Development of the England Wildlife Health Strategy--a framework for decision makers

Diseases in wildlife have been recognised as having the potential to affect human health, livestock health and species conservation. In order to assess and respond to these potential risks in an effective and a proportionate way, the UK Government initiated development of the Wildlife Health Strategy to provide a framework for decision making. The England Wildlife Health Strategy (EWHS) has been developed through extensive consultation. Discussions and negotiations with government departments, agencies, non-governmental public bodies and wildlife organisations were held to obtain advice and input on specific and specialised aspects of wildlife health. A series of workshops to investigate the application of innovative science to wildlife health policy contributed further. A formal public consultation was held that proposed a range of actions to implement the strategy. A summary of responses to this consultation was published in October 2007. The EWHS was published in June 2009 and provides a framework for a generic four-stage approach to wildlife health that can be adopted by decision makers both within and outside government.     

Bayesian structural equation models for inferring relationships between phenotypes: a review of methodology, identifiability, and applications

Structural equation models provide a general statistical modelling technique for estimating and testing relationships among variables. Such relationships are often not revealed by standard linear models, but are of importance for understanding mechanisms underlying e.g., production-related diseases, such as mastitis. This paper gives a review of Bayesian structural equation models concerning methodology and identifiability, focused on animal breeding and genetics modelling. Applications of this type of methods in animal breeding are also reviewed critically, with discussion on advantages and disadvantages of these approaches.     

Veterinary public health: past success, new opportunities

Animal diseases are known to be the origin of many human diseases, and there are many examples from ancient civilizations of plagues that arose from animals, domesticated and wild. Records of attempts to control zoonoses are almost as old. The early focus on food-borne illness evolved into veterinary medicine's support of public health efforts. Key historical events, disease outbreaks, and individuals responsible for their control are reviewed and serve as a foundation for understanding the current and future efforts in veterinary public health. Animal medicine and veterinary public health have been intertwined since humans first began ministrations to their families and animals. In the United States, the veterinary medical profession has effectively eliminated those major problems of animal health that had serious public health ramifications. These lessons and experiences can serve as a model for other countries. Our past must also be a reminder that the battle for human and animal health is ongoing. New agents emerge to threaten human and animal populations. With knowledge of the past, coupled with new technologies and techniques, we must be vigilant and carry on.     

Epidemiology and quality assurance: applications at farm level

Animal production is relevant with respect to farm income and the position of the sector in the market, but also with respect to the quality and safety of products of animal origin, related to public health. Animal production is part of a chain of food production. Therefore, producers have to take consumer expectations and demands in the domains of animal health, welfare and environment into account. A different attitude for production has to be adopted; this attitude can be visualized in good farming practice, GFP, codes. Farmers who focused on quality in its broadest sense need a system supporting them in their management and control of quality risks. Generally speaking, there are three systems for that purpose: GFP, ISO and HACCP. When the hypothesis followed relates to animal health being a feature of quality, or else welfare and environmental issues, then animal health care can be executed following quality control principles. The HACCP concept is well suited for quality control at farm level, involving risk identification and risk management. The on-farm monitoring and surveillance system of critical control points in the animal production process is the most important tool in this procedure. Principles for HACCP application as well as certification fitness of HACCP are elaborated upon. They are illustrated by using salmonellosis in meat-pig farms as objective for an HACCP approach. It is further discussed that, in addition to animal health and quality, animal welfare and environmental issues could also be covered by an HACCP-like system in an integrated manner. Ultimately, the HACCP modules could end up in an overall ISO certification.     

A Review of Simulation Modelling Approaches Used for the Spread of Zoonotic Influenza Viruses in Animal and Human Populations

Increasing incidences of emerging and re‐emerging diseases that are mostly zoonotic (e.g. severe acute respiratory syndrome, avian influenza H5N1, pandemic influenza) has led to the need for a multidisciplinary approach to tackling these threats to public and animal health. Accordingly, a global movement of ‘One‐Health/One‐Medicine’ has been launched to foster collaborative efforts amongst animal and human health officials and researchers to address these problems. Historical evidence points to the fact that pandemics caused by influenza A viruses remain a major zoonotic threat to mankind. Recently, a range of mathematical and computer simulation modelling methods and tools have increasingly been applied to improve our understanding of disease transmission dynamics, contingency planning and to support policy decisions on disease outbreak management. This review provides an overview of methods, approaches and software used for modelling the spread of zoonotic influenza viruses in animals and humans, particularly those related to the animal‐human interface. Modelling parameters used in these studies are summarized to provide references for future work. This review highlights the limited application of modelling research to influenza in animals and at the animal‐human interface, in marked contrast to the large volume of its research in human populations. Although swine are widely recognized as a potential host for generating novel influenza viruses, and that some of these viruses, including pandemic influenza A/H1N1 2009, have been shown to be readily transmissible between humans and swine, only one study was found related to the modelling of influenza spread at the swine‐human interface. Significant gaps in the knowledge of frequency of novel viral strains evolution in pigs, farm‐level natural history of influenza infection, incidences of influenza transmission between farms and between swine and humans are clearly evident. Therefore, there is a need to direct additional research to the study of influenza transmission dynamics in animals and at the animal‐human interface.     

Understanding veterinary practitioners' decision-making process: implications for veterinary medical education

Understanding how veterinary practitioners make clinical decisions, and how they use scientific information to inform their decisions, is important to optimize animal care, client satisfaction, and veterinary education. We aimed to develop an understanding of private practitioners' process of decision making. On the basis of a grounded-theory qualitative approach, we conducted a telephone survey and semi-structured face-to-face interviews. We identified a decision-making framework consisting of two possible processes to make decisions, five steps in the management of a clinical case, and three influencing factors. To inform their decision, veterinary surgeons rarely take the evidence-based medicine (EBM) approach. They consult first-opinion colleagues, specialists, laboratories, and the Internet rather than scientific databases and peer-reviewed literature, mainly because of limited time. Most interviewees suggested the development of educational interventions to better develop decision-making skills in veterinary schools. Adequate information and EBM tools are needed to optimize the time spent in query and assessment of scientific information, and practitioners need to be trained in their use.