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Veterinary projects and systems identified through the Triple-S inventory

Note that the list contains projects with very different status: some are operational systems, others are pilot projects, while some correspond to databases with syndromic information not yet used for surveillance.

Last updated July 21, 2012.



GMON (Health Monitoring System for Cattle)  

GMON is a wide health monitoring project started in 2006. Veterinary diagnostic data, to be documented by law (law of animal drug control) is standardised, validated and recorded into a central cattle database. Besides the provision of reports for herd management and preventive measures, the assessment of breeding values for health traits and monitoring of health statuses are project objectives.




MoSS: Monitoring and Surveillance System-Emergences2    

MoSS is a web application/multilingual website allowing for the time and geo-referenced descriptions of atypical syndromes, the clustering of similar cases, the onset of an alert signal sent to best-fitting Experts. The communication around the cases is organized on dedicated forum pages, leading to the early identification of the causative agent(s).





All data on purchase of medicine (antimicrobials and vaccines) to production animals are collected in Denmark (how much/which antimicrobials are subscribed by the veterinarian). Data can easily be amalgamated to look on the usage on e.g. specific animal species / disease syndromes / specific antimicrobials / some geographical areas or the entire country in the objective to control the usage of antimicrobials.





Kuukausi-ilmoitus is a Finnish program in which veterinarians must give a monthly report about certain notifiable diseases to the central veterinary authorities. The report also contains information about other animal diseases and syndromic illnesses. No statistical analyses are performed on these data at that stage.



Naseva is an online register for Finnish cattle farms. The system documents the history of the health care management on the farms at the national level. Data is collected from veterinarians (farm visits, management plan), laboratories (sample results), slaughterhouses (meat inspection data) and veterinary or production surveillance databases (via interface; production data and medication data) and from the farms (medication data). Data are not used for syndromic surveillance at that stage.




Sikava is an online register for health classification of Finnish pig farms. The system documents the history of the health care management on the farms at the national level. Data is collected from veterinarians (farm visits, management plan), laboratories (sample results), slaughterhouses (meat inspection data) and veterinary or production surveillance databases (via interface; production data and medication data) and from the farms (medication data). Data are not used for syndromic surveillance at that stage.





NERGAL-Abattoir is a pilot data basis created in 2005 to collect data in ten bovine abattoirs in real time during the slaughtering process. A study will be conducted from 2011 to 2014 to evaluate the relevance of these data to implement a syndromic surveillance system. Propositions to improve the existing system will be noted and taken into account for the future version of Nergal-Abattoir which is provided to be developing in more abattoirs in France.




The OMAR project (Observatoire de la Mortalité des Animaux de Rente) was launched in 2009 with the aim to analyze data collected by fallen stock companies, and to design a monitoring system able to detect anomalies possibly associated with health events. Pick calls from farmers to rendering plants are daily registered (including number of animals, species, age group, farm location, date of call) and automatically transmitted to the system. About 1.2 million cattle death notifications are yearly collected. For now only retrospective analysis were conducted, the interest of these data for syndromic surveillance is still being evaluated.



REPAMO (French network for the surveillance of Mollusc diseases)

Since 1992, REPAMO is the French surveillance system dedicated to wild and farmed marine mollusc diseases. It is run by Ifremer on behalf of the Ministry of Agriculture and has 19 correspondents in 13 locations on the Channel, Atlantic and Mediterranean coasts of France. Data are collected from local competent authority, laboratories and REPAMO correspondents. The objectives of the system are the notifiable disease surveillance, the mortality outbreaks investigations and the implementation of 2-3 years surveys on targeted host-pathogen associations

Contact: Cyrille François



Since 50 years, SAGIR carries out epidemiosurveillance and epidemiovigilance of wildlife fatal or disabling diseases, including toxicovigilance, in order to help the hunting managers and risk assessors and managers. SAGIR network is a participatory network of wildlife surveillance, which aims at conducting outbreak-based surveillance and when necessary, it also implements targeted surveillance. Three objectives guide the network: conservation, public and animal health. Data are collected from laboratories, hunter’s federation and public technician. There is no syndromic surveillance system in place at that stage.




MBL  (Dairy cow mortality)    

MBL is a survey conducted from 01/01/2002 to 31/12/2008 on dairy cattle more than 24 months so as to evaluate local patterns of mortality and to test data availability and reliability. Death notifications from veterinary services were used to model mortality and detect excess of mortality as an alert. This survey was a preliminary work for the future implementation of a syndromic surveillance system based on mortality data in Italy.




EPI (System for monitoring, reporting and notification of animal diseases)

EPI is a web based application which allows data transfer in real time. The system comprises three different parts. The first part covers an animal disease notification system of OIE listed diseases at our national level. The second part is used for the diagnostics, which includes all procedures; including sampling from the field, as well as examinations and results from the labs. The last part covers mandatory vaccinations on the national level. Currently we are developing a fourth part, which will be used for disease outbreak management and control.





PROVIMER is a system developed by the Government of Catalonia for the surveillance of data from fallen stock collectors, with the aim of detecting possible outbreaks of animal diseases in its early stages. Routine weekly data transfer, for baseline mortality monitoring and detection of abnormal values, is complemented with immediate email notification of carcass collection requests exceeding acceptable limits (number of animals by specie, according to the insurance company criteria).




Centrala Djurdatabasen (CDB) Central Cattle Database

The central cattle registry, held by the Board of Agriculture, is a mandatory system for the identification and registration of bovine animals. It is primarily used in authority controls of stock numbers but it has/can also be used for contact tracing during outbreaks. The database is also a link in the national system for blood sampling of cattle at abattoirs (for surveillance purposes). Extracts from the database are regularly downloaded and used by abattoirs to check the age of animals slaughtered, to decide on BSE control measures. Information about animal movements and death with cause of death are registered in the data base. Data are currently not used for syndromic surveillance.



Djursjukdata (National Animal Disease Recording System)    

Djursjukdata is a central registry on veterinary treatments held by the Board of Agriculture that mainly concerns production animals. Data such as clinical diagnoses, treatment prescribed, drugs name and quantity are reported by veterinary practitioners in the field. Data are currently not used for syndromic surveillance.




Kodatabasen is the dairy industry’s database. Information on all herds and cows affiliated to production recording (milk or meat), pedigree registration, AI services and any of the control programmes that the industry is responsible for are registered. Information from slaughterhouses and diagnostic laboratories are also registered. Certain herd health indicators are monitored on a regular basis, covering several areas such as calf and young stock health, udder health, claw health, metabolic disorders, culling and mortalities, reproduction etc. The data are currently not used for syndromic surveillance.



SVAs system för Laboratorie Arbete (SVALA) (SVA’s system for Laboratory work)

SVALA is the LIMS system of the National Veterinary Institute (SVA), which is the major diagnostic lab for animal diseases (production, companion and wild animals) in Sweden, covering pathology, bacteriology, virology, parasitology as well as chemistry. Data are currently not used for syndromic surveillance.




Animal Health System

The Animal Health System is a project still in its pilot phase whose objectives are general health surveillance and the early detection of new and re-emerging diseases in production and wild animals. The potential application of a syndromic surveillance system for livestock health is being investigated using data from the Federal Veterinary Office such as the national cattle registry, post-mortem inspection results (at the carcass-level) in the slaughterhouses, laboratory test requests by veterinarians and production indicators such as bulk milk sampling test results. Furthermore, we are looking into incorporating additional private data on fallen stock (held by rendering plants), milk production and reproduction indicators (held by breeding associations), post-mortem inspection results at the organ-level (held by slaughterhouses) and reports of equine neurological disorders to the Equinella network. Very little clinical or treatment data are currently centrally recorded in Switzerland but the project is considering ways to encourage data transmission from veterinary clinics and farmers. Passive monitoring of wildlife health is carried out by FIWI (the national reference laboratory).



The Netherlands

GD Monitor/GD Animal Health Monitor

Since 2002, a telephone helpdesk has been implemented in the Netherland for production animals. Farmers and veterinarians can contact the helpline and data on animal disease, symptoms or syndromes are collected in a database. Census data from other sources are used (rendering plant, Identifaction&registration system, breeding organizations, milk quality data, milk production data, farm voluntary health certification statuses, AHS laboratory results). Statistical analyses are performed and outputs are discussed within an experts group to interpret alert and determine relevant investigation. Quarterly reports for Government, levy boards and industry are produced.



United Kingdom

BEVA/AHT/Defra Equine Surveillance Reports    

The quarterly equine disease surveillance reports are produced by the Department for Environment, Food and Rural Affairs (Defra), the British Equine Veterinary Association (BEVA) and the Animal Health Trust (AHT). The report collates equine disease data arising from multiple diagnostic laboratories and veterinary practices throughout the United Kingdom giving an insight into equine disease occurrence on a national and international scale. Introduction of a syndromic surveillance component is planned on 2012/2013.




The FarmFile database includes epidemiological data on all diagnostic submissions sent to AHVLA Regional Laboratories.  The data are used to identify changes in the profile of endemic disease and the emergence of undefined disease. Scheduled reports include analyses of; disease trends, submissions where a diagnosis is not reached (DNR), syndromes and data quality.



AM (ante mortem) & PM (post mortem) Data Recording System

AM and PM is an electronic system to enable the collection of AM & PM inspection results at slaughterhouses for all species (currently used for poultry and pigs; in progress for cattle, sheep and other species). One of the objectives is that the system could create a data base for Great Britain and generates automatic reports to fulfil the requirements for the collection and communication of inspection results (CCIR). Data are not used for syndromic surveillance at that stage.



Over 48 month (O48M) Fallen stock    

Data are collected from farmers and rendering plants on dead cattle over 48 months through surveillance for TSE (brain stem testing of older cattle). Information on date of death and reason for death (in a free text field) is available. ”Reason for death” is only available for adult on-farm cattle deaths. Data are not used for syndromic surveillance at that stage.



Poultry Practice Data

Poultry practice Data is a database to record pathology data directly from poultry veterinarians. Data collected are simple data about husbandry, disease picture and post mortem observations from a standard list. Data are not used for syndromic surveillance at that stage.



SAVSNET (Small Animal Veterinary Surveillance Network)

SAVSNET is a national initiative to ethically collect data from companion small animals (Cats, dogs, rabbits etc) from two sources in the UK; Commercial diagnostic labs and veterinary surgeons in practice. The data will be analysed for temporal and spatial patterns, and risk factors for health and disease (eg age, sex, breed). Data analyses will be published on line for members of the public and vets, and in peer reviewed papers where appropriate. Scientists will be able to apply for access to data.



Vet. Surveillance Division (VSD) telephone log

VSD telephone log is a database to record data from telephone discussions between AHVLA laboratories and vet practitioners about animal health for production animals. Data from individual laboratories are aggregated and analyzed to supplement routine surveillance activities.



VetCompass (Veterinary Companion Animal Surveillance System)

The Royal Veterinary College (RVC), in collaboration with the University of Sydney, is undertaking a nationwide survey of small animal disease. The aims of this project are to investigate the range and frequency of small animal health problems seen by veterinary surgeons working in general practice in the United Kingdom and highlight major risk factors for these conditions. We are doing this through the routine capture of first opinion clinical data via electronic patient records held with practices’ Practice Management Systems (PMSs).