Volume 55, May 2020Coping with uncertainties for improved modelling and decision making in nuclear emergencies. Key results of the CONFIDENCE European research project
|Page(s)||S95 - S99|
|Section||UPDATED RADIOLOGICAL SITUATION|
|Published online||29 April 2020|
A new European cancer risk assessment tool for application after nuclear accidents
UZ – University of Zürich, Department of Physics, Science Faculty,
2 HMGU – Helmholtz Zentrum München – German Research Center for Environmental Health, Neuherberg, Germany
3 IAEA – International Atomic Energy Agency, IAEA Environment Laboratories, Seibersdorf, Austria
4 KIT – Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany
* Corresponding author: firstname.lastname@example.org
The development and application of new European software for cancer risk assessment after radiation exposure from a nuclear accident is described here. This software computes lifetime risks for several types of cancer and is intended to provide information for consideration by decision makers in the urgent and transition phases of nuclear emergencies. Such information on radiation related cancer risks can be useful to consider in the identification of protective measures (e.g., sheltering, evacuation, allocation of individuals to screening programmes and advice to take thyroid protection medication) in a differential way (i.e., for particularly susceptible sub-groups of a population). A description and application of the software for converting dose limits applicable after nuclear accidents into corresponding cancer risks, based on German population data, has already been published. Therefore, only a brief description of the main features of the software and some new illustrative results based on Swiss population data are given here, with some additional information on the input and output specification of the software.
Key words: nuclear accidents / risk assessment / cancer / CONFIDENCE
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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