Ainsbury, Elizabeth A. and Higueras, Manuel and Einbeck, Jochen and Samaga, Daniel and Barquinero, Joan F. and Barrios, Lleonard and Brzozowska, Beata and Fattibene, Paola and Gregoire, Eric and Jaworska, Alicija and Lloyd, David and Oestreicher, Ursula and Romm, Horst and Rothkamm, Kai and Roy, Lawrence and Sommer, Sylwester and Terzoudi, Georgia and Thierens, Hubert and Trompier, Francois and Vral, Anne and Woda, Clemens (2017) 'Uncertainty of fast biological radiation dose assessment for emergency response scenarios.', International journal of radiation biology., 93 (1). pp. 127-135.
Abstract
Purpose: Reliable dose estimation is an important factor in appropriate dosimetric triage categorization of exposed individuals to support radiation emergency response. Materials and Methods: Following work done under the EU FP7 MULTIBIODOSE and RENEB projects, formal methods for defining uncertainties on biological dose estimates are compared using simulated and real data from recent exercises. Results: The results demonstrate that a Bayesian method of uncertainty assessment is the most appropriate, even in the absence of detailed prior information. The relative accuracy and relevance of techniques for calculating uncertainty and combining assay results to produce single dose and uncertainty estimates is further discussed. Conclusions: Finally, it is demonstrated that whatever uncertainty estimation method is employed, ignoring the uncertainty on fast dose assessments can have an important impact on rapid biodosimetric categorization.
Item Type: | Article |
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Full text: | Publisher-imposed embargo (AM) Accepted Manuscript File format - PDF (794Kb) |
Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution Non-commercial No Derivatives. Download PDF (Advance online version) (1693Kb) |
Full text: | (VoR) Version of Record Available under License - Creative Commons Attribution Non-commercial No Derivatives. Download PDF (Final published version) (1749Kb) |
Status: | Peer-reviewed |
Publisher Web site: | http://dx.doi.org/10.1080/09553002.2016.1227106 |
Publisher statement: | © 2016 Crown Copyright. Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/ 4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. |
Date accepted: | 10 August 2016 |
Date deposited: | 16 September 2016 |
Date of first online publication: | 26 September 2016 |
Date first made open access: | No date available |
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