EFSA is conducting pan‐European dietary exposure and risk assessments related to actual levels of pesticide residues in food commodities. These assessments use the pesticide occurrence data generated under the official monitoring programs of Member States ...
This report presents the results from an exploratory study in 2016 on clear communication of scientific assessment results. It had a specific focus on the communication of scientific uncertainties in EFSA scientific opinions. Qualitative methods were appl ...
According to Regulation (EC) No 396/2005 on maximum residue levels of pesticides in or on food and feed, Member States have to monitor pesticide residue levels in food samples and submit the monitoring results to EFSA and the European Commission. The Stan ...
This report presents the results from an exploratory study in 2016 on clear communication of scientific assessment results. It had a specific focus on the communication of scientific uncertainties in EFSA scientific opinions. Qualitative methods were appl ...
The goal of this review was the evaluation of information on assessment methods in the field of alternative neurotoxicity (NT) testing. We therefore performed a systematic and comprehensive collection of scientific literature (in English) from the past 27 ...
No abstract available. Keywords: cumulative exposure assessment, pesticide residues, food, health effects, probabilistic, Monte Carlo doi: 10.2903/sp.efsa.2018.EN-1375 Question Number: EFSA-Q-2018-00078 Adopted: 7 December 2017 Contact: pesticides.pp ...
Uncertainty analysis is the process of identifying limitations in scientific knowledge and evaluating their implications for scientific conclusions. It is therefore relevant in all EFSA’s scientific assessments and also necessary, to ensure that the asses ...
No abstract available. Keywords: bees, pesticide residues, pollen, nectar, sugar content doi: 10.2903/sp.efsa.2017.EN-1303 Question Number: EFSA-Q-2015-00628 Adopted: 27 September 2017 Contact: pesticides.peerreview@efsa.europa.eu On request from: E ...
No abstract available. Keywords: Machine Learning, MLTs, Extensive Literature Search, Decision Tree, Risk Assessment, Food Safety, Case studies doi: 10.2903/sp.efsa.2017.EN-1254 Question Number: EFSA-Q-2014-00467 Adopted: 29 May 2017 Contact: amu@efs ...
No abstract available. Keywords: amphibians, reptiles, toxicity, risk coverage, surrogates, risk assessment, pesticides doi: 10.2903/sp.efsa.2017.EN-1251 Question Number: EFSA-Q-2015-00243 Adopted: 24 May 2017 Contact: pesticides.ppr@efsa.europa.eu O ...