The DECIDE project: from surveillance data to decision-support for farmers and veterinarians.

Data-driven animal health control decision-support endemic diseases welfare

Journal

Open research Europe
ISSN: 2732-5121
Titre abrégé: Open Res Eur
Pays: Belgium
ID NLM: 9918230081006676

Informations de publication

Date de publication:
2023
Historique:
accepted: 10 05 2023
medline: 23 5 2024
pubmed: 23 5 2024
entrez: 23 5 2024
Statut: epublish

Résumé

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.

Identifiants

pubmed: 38778904
doi: 10.12688/openreseurope.15988.1
pmc: PMC11109551
doi:

Types de publication

Journal Article

Langues

eng

Pagination

82

Informations de copyright

Copyright: © 2023 van Schaik G et al.

Déclaration de conflit d'intérêts

Competing interests: Author GvS and JdW are employed by Royal GD, author CF by AUSVET Europe, author PE by ONIRIS and author JR by accelopment Schweiz AG. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Gerdien van Schaik (G)

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
Royal GD, Deventer, The Netherlands.

Miel Hostens (M)

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
Laboratory for Animal Nutrition and Animal Product Quality (Lanupro), Department of Animal Sciences and Aquatic Ecology, Ghent University, Gent, Belgium.

Céline Faverjon (C)

AUSVET Europe, Lyon, France.

Dan B Jensen (DB)

Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.

Anders R Kristensen (AR)

Department of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.

Pauline Ezanno (P)

Oniris, INRAE, BIOEPAR, Nantes, France.

Jenny Frössling (J)

Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.

Fernanda Dórea (F)

Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.

Britt-Bang Jensen (BB)

Section for Epidemiology, Norwegian Veterinary Institute, Oslo, Norway.

Luis Pedro Carmo (LP)

Section for Epidemiology, Norwegian Veterinary Institute, Oslo, Norway.

Wilma Steeneveld (W)

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.

Jonathan Rushton (J)

Institute of Infection and Global Health, University of Liverpool, Liverpool, England, UK.

William Gilbert (W)

Institute of Infection and Global Health, University of Liverpool, Liverpool, England, UK.

Angela Bearth (A)

Department of Health Sciences and Technology, Eidgenossische Technische Hochschule Zurich, Zürich, Zurich, Switzerland.

Michael Siegrist (M)

Department of Health Sciences and Technology, Eidgenossische Technische Hochschule Zurich, Zürich, Zurich, Switzerland.

Jasmeet Kaler (J)

School of Veterinary Medicine and Science, University of Nottingham, Nottingham, England, UK.

Johannes Ripperger (J)

accelopment Schweiz AG, Zurich, Switzerland.

Jamuna Siehler (J)

accelopment Schweiz AG, Zurich, Switzerland.

Sjaak de Wit (S)

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.
Royal GD, Deventer, The Netherlands.

Beatriz Garcia-Morante (B)

IRTA Programes de Sanitat i Benestar Animals, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.
Unitat Mixta d'Investigació IRTA-UAB en Sanitat Animal, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.

Joaquim Segalés (J)

IRTA Programes de Sanitat i Benestar Animals, Centre de Recerca en Sanitat Animal (CReSA), Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.
OIE Collaborating Centre for the Research and Control of Emerging and Re-Emerging Swine Diseases in Europe (IRTA-CReSA), Barcelona, Spain.
Departament de Sanitat i Anatomia Animals, Facultat de Veterinària, UAB, Universitat Autonoma de Barcelona, Barcelona, Catalonia, Spain.

Bart Pardon (B)

Department of Internal Medicine, Reproduction and Population Medicine, Ghent University, Gent, Belgium.

Jade Bokma (J)

Department of Internal Medicine, Reproduction and Population Medicine, Ghent University, Gent, Belgium.

Mirjam Nielen (M)

Department of Population Health Sciences, Universiteit Utrecht, Utrecht, 3508TD, The Netherlands.

Classifications MeSH