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
C2 - 38778904
VL - 3
JO - Open Research Europe
JF - Open Research Europe
SN - 2732-5121
M1 - 82
ER -