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The DECIDE project: from surveillance data to decision-support for farmers and veterinarians.
van Schaik, Gerdien; Hostens, Miel; Faverjon, Céline; Jensen, Dan B; Kristensen, Anders R; Ezanno, Pauline; Frössling, Jenny; Dórea, Fernanda; Jensen, Britt-Bang; Carmo, Luis Pedro; Steeneveld, Wilma; Rushton, Jonathan; Gilbert, William; Bearth, Angela; Siegrist, Michael; Kaler, Jasmeet; Ripperger, Johannes; Siehler, Jamuna; de Wit, Sjaak; Garcia-Morante, Beatriz; Segalés, Joaquim; Pardon, Bart; Bokma, Jade; Nielen, Mirjam.
Afiliação
  • van Schaik G; Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
  • Hostens M; Royal GD, Deventer, The Netherlands.
  • Faverjon C; Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
  • Jensen DB; Laboratory for Animal Nutrition and Animal Product Quality (Lanupro), Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium.
  • Kristensen AR; AUSVET Europe, Lyon, France.
  • Ezanno P; Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Frössling J; Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
  • Dórea F; Oniris, INRAE, BIOEPAR, Nantes, France.
  • Jensen BB; Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
  • Carmo LP; Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
  • Steeneveld W; Section for Epidemiology, Norwegian Veterinary Institute, Oslo, Norway.
  • Rushton J; Section for Epidemiology, Norwegian Veterinary Institute, Oslo, Norway.
  • Gilbert W; Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
  • Bearth A; Institute of Infection and Global Health, University of Liverpool, Liverpool, England, UK.
  • Siegrist M; Institute of Infection and Global Health, University of Liverpool, Liverpool, England, UK.
  • Kaler J; Department of Health Sciences and Technology, Eidgenossische Technische Hochschule Zurich, Zürich, Zurich, Switzerland.
  • Ripperger J; Department of Health Sciences and Technology, Eidgenossische Technische Hochschule Zurich, Zürich, Zurich, Switzerland.
  • Siehler J; School of Veterinary Medicine and Science, University of Nottingham, Nottingham, England, UK.
  • de Wit S; accelopment Schweiz AG, Zurich, Switzerland.
  • Garcia-Morante B; accelopment Schweiz AG, Zurich, Switzerland.
  • Segalés J; Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
  • Pardon B; Royal GD, Deventer, The Netherlands.
  • Bokma J; IRTA Programes de Sanitat i Benestar Animals, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.
  • Nielen M; Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.
Open Res Eur ; 3: 82, 2023.
Article em En | MEDLINE | ID: mdl-38778904
ABSTRACT
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article