78 research outputs found
The DECIDE project: from surveillance data to decision-support for farmers and veterinarians
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
Overview of cattle diseases listed under category C, D or E in the animal health law for wich control programmes are in place within Europe
13 páginas, 5 figuras, 3 tablas.The COST action “Standardising output-based surveillance to control non-regulated
diseases of cattle in the European Union (SOUND control),” aims to harmonise the results
of surveillance and control programmes (CPs) for non-EU regulated cattle diseases to
facilitate safe trade and improve overall control of cattle infectious diseases. In this paper
we aimed to provide an overview on the diversity of control for these diseases in Europe.
A non-EU regulated cattle disease was defined as an infectious disease of cattle with no
or limited control at EU level, which is not included in the European Union Animal health
law Categories A or B under Commission Implementing Regulation (EU) 2020/2002.
A CP was defined as surveillance and/or intervention strategies designed to lower the
incidence, prevalence, mortality or prove freedom from a specific disease in a region
or country. Passive surveillance, and active surveillance of breeding bulls under Council
Directive 88/407/EEC were not considered as CPs. A questionnaire was designed to
obtain country-specific information about CPs for each disease. Animal health experts
from 33 European countries completed the questionnaire. Overall, there are 23 diseases
for which a CP exists in one or more of the countries studied. The diseases for which
CPs exist in the highest number of countries are enzootic bovine leukosis, bluetongue,
infectious bovine rhinotracheitis, bovine viral diarrhoea and anthrax (CPs reported by
between 16 and 31 countries). Every participating country has on average, 6 CPs
(min–max: 1–13) in place. Most programmes are implemented at a national level (86%)
and are applied to both dairy and non-dairy cattle (75%). Approximately one-third
of the CPs are voluntary, and the funding structure is divided between government
and private resources. Countries that have eradicated diseases like enzootic bovine
leukosis, bluetongue, infectious bovine rhinotracheitis and bovine viral diarrhoea have
implemented CPs for other diseases to further improve the health status of cattle in their
country. The control of non-EU regulated cattle diseases is very heterogenous in Europe.
Therefore, the standardising of the outputs of these programmes to enable comparison
represents a challenge.Peer reviewe
Algebraic model of a wall acoustic impedance constructed using experimental data
International audienceIn the context of a research devoted to the construction of a wall acoustic impedance model for a soundproofing scheme constituted of a porous medium inserted between two thin plates, an experimental data basis was carried out. In this paper, we present a probabilistic algebraic model of a wall acoustic impedance, constructed using this experimental data basis and allowing such a soundproofing scheme to be modeled. This kind of probabilistic algebraic model can be used for validating finite element model of such a soundproofing scheme whose equations are derived from the Biot theory, or for validating theoretical model, adapted to medium and high frequency ranges, deduced from Biot's equations. This probabilistic algebraic model is constructed by using the general mathematical properties of wall acoustic impedance operators (symmetry, odd and even functions with respect to the frequency, decreasing functions when frequency goes to infinity, behavior when frequency goes to zero and so on). The parameters introduced in this probabilistic algebraic model are fitted with the experimental data basis
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