Publication detailsAinsbury, Elizabeth A., Higueras, Manuel, Puig, Pedro, Einbeck, Jochen, Samaga, Daniel, Barquinero, Joan F., Barrios, Lleonard, Brzozowska, Beata, Fattibene, Paola, Gregoire, Eric, Jaworska, Alicija, Lloyd, David, Oestreicher, Ursula, Romm, Horst, Rothkamm, Kai, Roy, Lawrence, Sommer, Sylwester, Terzoudi, Georgia, Thierens, Hubert, Trompier, Francois, Vral, Anne & Woda, Clemens (2017). Uncertainty of fast biological radiation dose assessment for emergency response scenarios. International Journal of Radiation Biology 93(1): 127-135.
- Publication type: Journal Article
- ISSN/ISBN: 0955-3002 (print), 1362-3095 (electronic)
- DOI: 10.1080/09553002.2016.1227106
- Further publication details on publisher web site
- Durham Research Online (DRO) - may include full text
- View in another repository - may include full text
Author(s) from Durham
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.