The DECIDE project : from surveillance data to decision-support for farmers and veterinarians
Van Schaik, Gerdien (University of Utrecht (UU). Royal GD)
Hostens, Miel (University of Utrecht)
Faverjon, Céline (Ausvet Europe)
Jensen, Dan B. (University of Copenhagen)
Kristensen, Anders R. (University of Copenhagen)
Ezanno, Pauline (BIOEPAR)
Frössling, Jenny (National Veterinary Institute)
Dórea, Fernanda (National Veterinary Institute)
Jensen, Britt Bang (National Veterinary Institute)
Carmo, Luis Pedro (National Veterinary Institute)
Steeneveld, Wilma (University of Utrecht)
Rushton, Jonathan (University of Liverpool)
Gilbert, William (University of Liverpool)
Bearth, Angela (Federal Institute of Technology Zurich)
Siegrist, Michael (Federal Institute of Technology Zurich)
Kaler, Jasmeet (University of Nottingham. Faculty of Medicine and Health Sciences)
Ripperger, Johannes (Accelopment Schweiz)
Siehler, Jamuna (Accelopment Schweiz)
de Wit, Sjaak (University of Utrecht)
Garcia-Morante, Beatriz (Universitat Autònoma de Barcelona. Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal)
Segalés Coma, Joaquim (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals)
Pardon, Bart (Ghent University)
Bokma, Jade (Ghent University)
Nielen, Mirjam (Universiteit Utrecht)

Data:	2023
Resum:	Farmers, veterinarians and other animal health managers in the livestock sector are currently missing sufficient information on prevalence and burden of contagious endemic animal diseases. They need adequate tools for risk assessment and prioritization of control measures for these diseases. The DECIDE project develops data-driven decision-support tools, which present (i) robust and early signals of disease emergence and options for diagnostic confirmation; and (ii) options for controlling the disease along with their implications in terms of disease spread, economic burden and animal welfare. DECIDE focuses on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on reduced growth and mortality in two of the most important aquaculture species (salmon and trout). For each of these, we (i) identify the stakeholder needs; (ii) determine the burden of disease and costs of control measures; (iii) develop data sharing frameworks based on federated data access and meta-information sharing; (iv) build multivariate and multi-level models for creating early warning systems; and (v) rank interventions based on multiple criteria. Together, all of this forms decision-support tools to be integrated in existing farm management systems wherever possible and to be evaluated in several pilot implementations in farms across Europe. The results of DECIDE lead to improved use of surveillance data and evidence-based decisions on disease control. Improved disease control is essential for a sustainable food chain in Europe with increased animal health and welfare and that protects human health.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Animal health ; Control ; Data-driven ; Decision-support ; Endemic diseases ; Welfare ; SDG 3 - Good Health and Well-being
Publicat a:	Open Research Europe, Vol. 3 (2023) , p. 82, ISSN 2732-5121

DOI: 10.12688/openreseurope.15988.1
PMID: 38778904

13 p, 561.2 KB

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