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1.
Transbound Emerg Dis ; 64(4): 1059-1070, 2017 Aug.
Article in English | MEDLINE | ID: mdl-28670863

ABSTRACT

As part of the Emerging Risk Identification (ERI) activities of the European Food Safety Authority (EFSA), a literature search was conducted to identify the microbiological agents transmitted between livestock animals and humans that have been suggested as having emerged between 2007 and 2015 in peer-reviewed scientific literature published during the same period (2007-2015). According to the criteria set, the search identified seven such zoonotic agents, namely West Nile Fever virus, Rift Valley Fever virus, Crimean-Congo Haemorrhagic Fever virus, Influenza A H1N1 virus, Coxiella burnetii, Streptococcus suis and livestock-associated methicillin-resistant Staphylococcus aureus clonal complex 398. An explanation of the agents' consideration as emerging risks is provided. The experience gained from these emergences has shown that the detection of and response to such risks can be achieved faster and more successfully within a multidisciplinary, collaborative context at the field, local, national and international levels.


Subject(s)
Communicable Diseases, Emerging/epidemiology , Livestock/microbiology , Zoonoses , Animals , Europe/epidemiology , Humans
2.
Sci Rep ; 6: 24328, 2016 Apr 12.
Article in English | MEDLINE | ID: mdl-27066906

ABSTRACT

Climate change has been reported as a driver for emerging food and feed safety issues worldwide and its expected impact on the presence of mycotoxins in food and feed is of great concern. Aflatoxins have the highest acute and chronic toxicity of all mycotoxins; hence, the maximal concentration in agricultural food and feed products and their commodities is regulated worldwide. The possible change in patterns of aflatoxin occurrence in crops due to climate change is a matter of concern that may require anticipatory actions. The aim of this study was to predict aflatoxin contamination in maize and wheat crops, within the next 100 years, under a +2 °C and +5 °C climate change scenario, applying a modelling approach. Europe was virtually covered by a net, 50 × 50 km grids, identifying 2254 meshes with a central point each. Climate data were generated for each point, linked to predictive models and predictions were run consequently. Aflatoxin B1 is predicted to become a food safety issue in maize in Europe, especially in the +2 °C scenario, the most probable scenario of climate change expected for the next years. These results represent a supporting tool to reinforce aflatoxin management and to prevent human and animal exposure.


Subject(s)
Aflatoxin B1/analysis , Climate Change , Zea mays/chemistry , Animals , Europe , Food Contamination , Forecasting , Humans , Models, Statistical , Temperature
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