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Competing Interests: Competing interests: None declared.

Background: The importance of wildlife disease surveillance is increasing, because wild animals are playing a growing role as sources of emerging infectious disease events in humans. Syndromic surveillance methods have been developed as a complement to traditional health data analyses, to allow the early detection of unusual health events. Early detection of these events in wildlife could help to protect the health of domestic animals or humans. This paper aims to define syndromes that could be used for the syndromic surveillance of wildlife health data. Wildlife disease monitoring in France, from 1986 onward, has allowed numerous diagnostic data to be collected from wild animals found dead. The authors wanted to identify distinct pathological profiles from these historical data by a global analysis of the registered necropsy descriptions, and discuss how these profiles can be used to define syndromes. In view of the multiplicity and heterogeneity of the available information, the authors suggest constructing syndromic classes by a multivariate statistical analysis and classification procedure grouping cases that share similar pathological characteristics., Results: A three-step procedure was applied: first, a multiple correspondence analysis was performed on necropsy data to reduce them to their principal components. Then hierarchical ascendant clustering was used to partition the data. Finally the k-means algorithm was applied to strengthen the partitioning. Nine clusters were identified: three were species- and disease-specific, three were suggestive of specific pathological conditions but not species-specific, two covered a broader pathological condition and one was miscellaneous. The clusters reflected the most distinct and most frequent disease entities on which the surveillance network focused. They could be used to define distinct syndromes characterised by specific post-mortem findings., Conclusions: The chosen statistical clustering method was found to be a useful tool to retrospectively group cases from our database into distinct and meaningful pathological entities. Syndrome definition from post-mortem findings is potentially useful for early outbreak detection because it uses the earliest available information on disease in wildlife. Furthermore, the proposed typology allows each case to be attributed to a syndrome, thus enabling the exhaustive surveillance of health events through time series analyses.

The phenomenon of qualitative interaction between the research activity and the studied object exists in veterinary epidemiology, as in all observation-based disciplines. Observational studies carried out under farm conditions strongly involve the farmers and the farm's usual advisors in the data collection. This leads to various biological and sociological interactions between the observer and the observed that can modify the results of the study. Some methodological considerations are proposed in order to consider such qualitative interaction, from the designing of the study through to the interpretation of the results. Examples are presented to illustrate these ideas.

In the course of the surveys carried out by the Centre d'Ecopathologie Animale, the collection of data is performed by interviewers who are specialists in cattle breeding (eg, technicians, veterinary surgeons, and inseminators). This practice improves the reliability of the collected data but gives rise to constraints. To get round these difficulties, a number of methods improving the feasability of surveys by numerous and various interviewers have been developed and adapted: setting up surveys by interdisciplinary groups; preliminary surveys and validation of survey procedures and aids; and training interviewers about the ecopathological approach and the constraints of data collection.

Abstract: The identification of variant Creutzfeldt-Jakob disease (vCJD) in human strongly reinforced the perception of risks associated with the infectious agent involved in Bovine Spongiform Encephalopathy (BSE). The development of rapid tests for the diagnosis of BSE by the detection of the abnormal prion protein allowed a huge increase in surveillance of the cattle disease. This first revealed a higher prevalence of the infection than previously believed. However, food safety measures, mainly based on the ban of the use of meat and bone meal in ruminants and the elimination of specified risk materials from the food chain, already allowed significant progress in the control of the cattle disease, especially in the United Kingdom. Nevertheless, the diagnosis can still not be obtained in the live animal, while the disease only appears following a several years incubation period. Another major issue is the identification of the BSE agent when it has been transmitted to another species. This question not only arises in veterinary medicine, with the major question of a possible infection of small ruminants by the BSE agent, but also in human in which the existence of other forms of the disease linked to the BSE agent but possibly differing from Creutzfeldt-Jakob disease cannot be excluded. [Copyright &y& Elsevier]

A mandatory reporting system (MRS) was set up in France in December 1990 to detect animals showing clinical signs of bovine spongiform encephalopathy (BSE). Since June 2000, four active surveillance programmes dedicated to fallen stock and slaughtered cattle have been implemented to reinforce the MRS. The clinical status of the cases detected through these programmes was investigated to understand why the MRS had failed to detect them. Up to September 1, 2002, 181 cases had been analysed (126 fallen stock and 55 slaughtered cattle). Almost all the fallen stock cases were animals which had been showing clinical signs, and two thirds of them had shown signs which should have led to a suspicion of BSE. No clinical signs had been reported for two thirds of the slaughtered cattle cases and 10 (8 per cent) of the fallen stock cases. [ABSTRACT FROM AUTHOR]