TY - JOUR

T1 - The DECIDE project

T2 - from surveillance data to decision-support for farmers and veterinarians [version 1; peer review: awaiting peer review]

AU - van Schaik, Gerdien

AU - Hostens, Miel

AU - Faverjon, Céline

AU - Jensen, Dan B.

AU - Kristensen, Anders R.

AU - Ezanno, Pauline

AU - Frössling, Jenny

AU - Dórea, Fernanda C.

AU - Jensen, Britt-Bang

AU - Carmo, Luis Pedro

AU - Steeneveld, Wilma

AU - Rushton, Jonathan

AU - Gilbert, William

AU - Bearth, Angela

AU - Siegrist, Michael

AU - Kaler, Jasmeet

AU - Ripperger, Johannes

AU - Siehler, Jamuna

AU - de Wit, Sjaak

AU - Garcia-Morante, Beatriz

AU - Segalés, Joaquim

AU - Pardon, Bart

AU - Bokma, Jade

AU - Nielen, Mirjam

PY - 2024

Y1 - 2024

N2 - 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.

AB - 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.

U2 - 10.12688/openreseurope.15988.1

DO - 10.12688/openreseurope.15988.1

M3 - Letter

VL - 3

JO - Open Research Europe

JF - Open Research Europe

SN - 2732-5121

M1 - 82

ER -