Immediate decisions based on long-term consequence evaluation for a radiological event
| Autor: | Matjaž Prah, Helio C. Vital, Sergio X. Lima, Tercio Brum, Ricardo M. Stenders, José Carlos Cesar Amorim, Edson R. Andrade |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Validation study
History Event (relativity) 0208 environmental biotechnology Dismemberment 02 engineering and technology medicine.disease people.cause_of_death 030218 nuclear medicine & medical imaging 020801 environmental engineering Term (time) 03 medical and health sciences 0302 clinical medicine Modeling and Simulation Radiological weapon medicine Medical emergency people Engineering (miscellaneous) |
| Zdroj: | The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. 18:365-373 |
| ISSN: | 1557-380X 1548-5129 |
| DOI: | 10.1177/1548512920908665 |
| Popis: | This validation study focuses on potential risks and subsequent challenges, such as family dismemberment due to the response to an off-site radiological release. Threats that may drive early decisions from a long-term perspective, such as cancer development, were discussed. In order to provide radiation doses, environmental measurements were performed by using a military helicopter. Such data was then inserted into the BEIR VII equations to evaluate the excess relative risk (ERR) of leukemia. However, there may be an issue in the initial phase of the response. Family dismemberment becomes practical due to the different radiation sensitiveness, which is a function of age and sex. Such a situation may arise from requirements posed both by the immediate response and future concerns (ERR). Evaluation of the results suggests that children and young women are more vulnerable than adults. A more detailed study focused on the most appropriate mathematical method to determine the moment in which family dismemberment, if necessary, should be conducted. This sensitive issue is very important during the early phase of the response due to the fact that it can greatly influence future decisions by anticipating possible consequences that have a large potential to influence the evolution of future costs. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|