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Data-driven control and prioritisation of non-EU-regulated contagious animal diseases

Project description

Decision support tools for contagious animal diseases

The EU-funded DECIDE project will develop data-driven decision support tools for the early detection of disease emergence, focusing on respiratory and gastrointestinal syndromes in pigs, poultry and cattle, and on growth reduction and mortality in salmon. Researchers will identify stakeholder needs and determine the burden of disease and the costs of control measures. They will also develop data sharing frameworks and build multivariate and multi-level models that will form decision support tools to be integrated in existing farm management systems and evaluated in several pilot farms across Europe. DECIDE will lead to improved decisions on disease control that increase animal health and welfare and protect human health and the food chain in Europe and beyond.

Objective

Farmers, veterinarians and other animal health managers in the livestock sector are currently missing information on prevalence and burden of non-EU-regulated contagious animal diseases. They are in need of adequate tools for risk assessment and for prioritisation of control measures for these diseases.

The DECIDE project will develop 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 will focus on respiratory and gastro-intestinal syndromes in the three most important terrestrial livestock species (pigs, poultry, cattle) and on growth reduction and mortality in salmonids, the most important aquaculture species. For each of these, we will (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 federated learning; (iv) build multivariate and multi-level models for creating an early warning system. Together, all of this will form the 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.

To achieve these ambitious goals, DECIDE has assembled a unique multidisciplinary consortium of experts in veterinary epidemiology and diagnostics, data science, mechanistic and predictive modelling, economics, animal welfare and social sciences. The consortium also includes several representatives of stakeholders with ample access to data, such as national animal health agencies, providers of veterinary services or farm equipment suppliers.

The results of DECIDE will lead to improved decisions on disease control to increase animal health and welfare and protect human health and the food chain in Europe and beyond.

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RIA - Research and Innovation action

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Call for proposal

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(opens in new window) H2020-SFS-2018-2020

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Coordinator

UNIVERSITEIT UTRECHT
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 375 421,25
Address
HEIDELBERGLAAN 8
3584 CS Utrecht
Netherlands

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 375 421,25

Participants (20)

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