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LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout
A tool called LARCalc, for calculating the radiological consequences of accidental large scale nuclear power plant releases based on estimates of (137)Cs ground deposition, is presented. LARCalc is based on a previously developed models that has been further developed and packaged into an easy-to-us...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692327/ https://www.ncbi.nlm.nih.gov/pubmed/38040734 http://dx.doi.org/10.1038/s41598-023-46964-6 |
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author | Sundström, Jonathan Isaksson, Mats Rääf, Christopher L. |
author_facet | Sundström, Jonathan Isaksson, Mats Rääf, Christopher L. |
author_sort | Sundström, Jonathan |
collection | PubMed |
description | A tool called LARCalc, for calculating the radiological consequences of accidental large scale nuclear power plant releases based on estimates of (137)Cs ground deposition, is presented. LARCalc is based on a previously developed models that has been further developed and packaged into an easy-to-use decision support tool for training of decision makers. The software visualises the radiological impact of accidental nuclear power plant releases and the effects of various protective measures. It is thus intended as a rapid alternative for planning protective measures in emergency preparedness management. The tool predicts projected cumulative effective dose, projected lifetime attributable cancer risk, and residual dose for some default accidental release scenarios. Furthermore, it can predict the residual dose and avertable cumulative lifetime attributable risk (LAR) resulting from various protective measures such as evacuation and decontamination. It can also be used to predict the avertable collective dose and the increase in cancer incidence within the specified population. This study presents the theoretical models and updates to the previous models, and examples of different nuclear fallout scenarios and subsequent protective actions to illustrate the potential use of LARCalc. |
format | Online Article Text |
id | pubmed-10692327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106923272023-12-03 LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout Sundström, Jonathan Isaksson, Mats Rääf, Christopher L. Sci Rep Article A tool called LARCalc, for calculating the radiological consequences of accidental large scale nuclear power plant releases based on estimates of (137)Cs ground deposition, is presented. LARCalc is based on a previously developed models that has been further developed and packaged into an easy-to-use decision support tool for training of decision makers. The software visualises the radiological impact of accidental nuclear power plant releases and the effects of various protective measures. It is thus intended as a rapid alternative for planning protective measures in emergency preparedness management. The tool predicts projected cumulative effective dose, projected lifetime attributable cancer risk, and residual dose for some default accidental release scenarios. Furthermore, it can predict the residual dose and avertable cumulative lifetime attributable risk (LAR) resulting from various protective measures such as evacuation and decontamination. It can also be used to predict the avertable collective dose and the increase in cancer incidence within the specified population. This study presents the theoretical models and updates to the previous models, and examples of different nuclear fallout scenarios and subsequent protective actions to illustrate the potential use of LARCalc. Nature Publishing Group UK 2023-12-01 /pmc/articles/PMC10692327/ /pubmed/38040734 http://dx.doi.org/10.1038/s41598-023-46964-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sundström, Jonathan Isaksson, Mats Rääf, Christopher L. LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title | LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title_full | LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title_fullStr | LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title_full_unstemmed | LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title_short | LARCalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
title_sort | larcalc, a tool to estimate sex- and age-specific lifetime attributable risk in populations after nuclear power plant fallout |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10692327/ https://www.ncbi.nlm.nih.gov/pubmed/38040734 http://dx.doi.org/10.1038/s41598-023-46964-6 |
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