Bisdorff B., Schauer Birgit, Taylor Nick, Rodriguez-Prieto V., Comin Arianna, Brouwer Adam, Dórea F., Drewe Julian, Hoinville Linda, Lindberg Ann, Martínez Avilés Marta, Martinez-Lopez Beatriz, Peyre Marie-Isabelle, Pinto Ferreira J., Rushton Jonathan, Van Schaik G., Stärk Katharina D.C., Staubach Christoph, Vicente-Rubiano M., Witteveen G., Pfeiffer Dirk, Häsler Barbara. 2017. Active animal health surveillance in European Union Member States: gaps and opportunities. Epidemiology and Infection, 145 (4) : 802-817.
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Quartile : Q2, Sujet : PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH (Science) / Quartile : Q3, Sujet : INFECTIOUS DISEASES
Liste HCERES des revues (en SHS) : oui
Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie
Résumé : Animal health surveillance enables the detection and control of animal diseases including zoonoses. Under the EU-FP7 project RISKSUR, a survey was conducted in 11 EU Member States and Switzerland to describe active surveillance components in 2011 managed by the public or private sector and identify gaps and opportunities. Information was collected about hazard, target population, geographical focus, legal obligation, management, surveillance design, risk-based sampling, and multi-hazard surveillance. Two countries were excluded due to incompleteness of data. Most of the 664 components targeted cattle (26·7%), pigs (17·5%) or poultry (16·0%). The most common surveillance objectives were demonstrating freedom from disease (43·8%) and case detection (26·8%). Over half of components applied risk-based sampling (57·1%), but mainly focused on a single population stratum (targeted risk-based) rather than differentiating between risk levels of different strata (stratified risk-based). About a third of components were multi-hazard (37·3%). Both risk-based sampling and multi-hazard surveillance were used more frequently in privately funded components. The study identified several gaps (e.g. lack of systematic documentation, inconsistent application of terminology) and opportunities (e.g. stratified risk-based sampling). The greater flexibility provided by the new EU Animal Health Law means that systematic evaluation of surveillance alternatives will be required to optimize cost-effectiveness.
Mots-clés géographiques Agrovoc : Pays de l'Union européenne
Classification Agris : L70 - Sciences et hygiène vétérinaires - Considérations générales
L73 - Maladies des animaux
L72 - Organismes nuisibles des animaux
Champ stratégique Cirad : Axe 4 (2014-2018) - Santé des animaux et des plantes
Agences de financement européennes : European Commission
Programme de financement européen : FP7
Projets sur financement : (EU) Providing a new generation of methodologies and tools for cost-effective risk-based animal health surveillance systems for the benefit of livestock producers, decision makers and consumers
Auteurs et affiliations
- Bisdorff B., Royal Veterinary College (GBR)
- Schauer Birgit, FLI (DEU)
- Taylor Nick, University of Reading (GBR)
- Rodriguez-Prieto V., Universidad Complutense de Madrid (ESP)
- Comin Arianna, Swedish National Veterinary Institute (SWE)
- Brouwer Adam, APHA (GBR)
- Dórea F., Swedish National Veterinary Institute (SWE)
- Drewe Julian, Royal Veterinary College (GBR)
- Hoinville Linda, Royal Veterinary College (GBR)
- Lindberg Ann, National Veterinary Institute (SWE)
- Martínez Avilés Marta, Universidad Complutense de Madrid (ESP)
- Martinez-Lopez Beatriz, UC (USA)
- Peyre Marie-Isabelle, CIRAD-ES-UPR AGIRs (FRA) ORCID: 0000-0002-0887-3418
- Pinto Ferreira J., Safoso (CHE)
- Rushton Jonathan, Royal Veterinary College (GBR)
- Van Schaik G., GD Animal Health (NLD)
- Stärk Katharina D.C., Safoso (CHE)
- Staubach Christoph, FLI (DEU)
- Vicente-Rubiano M., Universidad Complutense de Madrid (ESP)
- Witteveen G., GD Animal Health (NLD)
- Pfeiffer Dirk, Royal Veterinary College (GBR)
- Häsler Barbara, Royal Veterinary College (GBR)
Source : Cirad-Agritrop (https://agritrop.cirad.fr/582589/)
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