The SIGMA project originates from an internal review, performed by the Animal Health and Welfare (AHAW) team (EFSA Animal and Plant Health unit), on the current data standards and data collection practices related to certain animal diseases (namely, Avian ...
Why is EFSA working on cumulative risk assessment? Risks to consumers from the presence of pesticide residues in food are currently estimated substance by substance. However, a number of pesticides have similar effects and their impact on human health c ...
EFSA indice una consultazione pubblica sulle proprie valutazioni dei rischi per l’uomo connessi alla presenza di residui di pesticidi multipli negli alimenti. Le parti interessate possono presentare commenti fino al 15 novembre su due valutazioni: una es ...
The ENETWILD consortium implementedtheEFSA‐funded project “Wildlife: collecting and sharing data on wildlife populations, transmitting animal diseases agents”,whose main objective is to collect wild boardensity, hunting and occurrence dataand model specie ...
The transfer and re‐use of existing food safety knowledge (ranging from experimental data, published mathematical models to risk assessment software code) is currently a major bottleneck in the area of food safety risk assessment. Such knowledge transfer ...
Members of the relevant scientific panel meet to discuss and adopt scientific outputs. Draft Agenda (160.49 KB) Minutes (476.03 KB) Plenaries false ...
Minutes (158.76 KB) Networks Echinococcus multilocularis false ...
Mappingthe ‘data sources’ on animal diseases,in each European Union (EU) Member State, is one of the activities of EFSA's SIGMA 1, 2 project. The aim of this activity is to identify the central competent authorities responsible for managing the data ...
The most significant knowledge gaps in the prevention and control of African swine fever (ASF) were identified by the EU Veterinary services and other stakeholders involved in pig production and wild boar management through an online survey. The responden ...
In October 2018 the ENETWILD consortium created suitability maps based on available data on wild boar occurrence at 10 km square resolution and initial version of abundance models based on hunting statistics at NUTS3 and NUTS2 resolution, that were statis ...
