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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Kettler, Susanne Kennedy, Marc McNamara, Cronan Oberdörfer, Regina O'Mahony, Cian Schnabel, Jürgen Smith, Benjamin Sprong, Corinne Faludi, Roland Tennant, David |
| Description | Country affiliation: Belgium Author Affiliation: Kettler S ( Coca-Cola Europe, Belgium.); Kennedy M ( The Food and Environment Research Agency, UK.); McNamara C ( Creme Global, Ireland.); Oberdörfer R ( Bayer CropScience, Germany.); O'Mahony C ( Creme Global, Ireland.); Schnabel J ( Givaudan, Switzerland.); Smith B ( Firmenich, Switzerland.); Sprong C ( RIVM, The Netherlands.); Faludi R ( International Life Sciences Institute-ILSI Europe, Belgium. Electronic address: publications@ilsieurope.be.); Tennant D ( Food Chemical Risk Analysis, UK.) |
| Abstract | Uncertainty analysis is an important component of dietary exposure assessments in order to understand correctly the strength and limits of its results. Often, standard screening procedures are applied in a first step which results in conservative estimates. If through those screening procedures a potential exceedance of health-based guidance values is indicated, within the tiered approach more refined models are applied. However, the sources and types of uncertainties in deterministic and probabilistic models can vary or differ. A key objective of this work has been the mapping of different sources and types of uncertainties to better understand how to best use uncertainty analysis to generate more realistic comprehension of dietary exposure. In dietary exposure assessments, uncertainties can be introduced by knowledge gaps about the exposure scenario, parameter and the model itself. With this mapping, general and model-independent uncertainties have been identified and described, as well as those which can be introduced and influenced by the specific model during the tiered approach. This analysis identifies that there are general uncertainties common to point estimates (screening or deterministic methods) and probabilistic exposure assessment methods. To provide further clarity, general sources of uncertainty affecting many dietary exposure assessments should be separated from model-specific uncertainties. |
| File Format | HTM / HTML |
| ISSN | 02786915 |
| Volume Number | 82 |
| e-ISSN | 18736351 |
| Journal | Food and Chemical Toxicology |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2015-08-01 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Toxicology__semicolon__nutritional Discipline Sciences Diet Environmental Exposure Analysis Statistics & Numerical Data Models, Statistical Body Weight Food Contamination Humans Models, Theoretical Risk Assessment Methods Uncertainty Journal Article Review |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Toxicology Food Science |
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