Lost life expectancy following a hypothetical urban radiological incident.

Autor: Neves SCT; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: suzanacoladello@gmail.com., Horta LRP; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: lrphorta@gmail.com., Machado RV; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: engenheirorodrigovieiramachado@gmail.com., Furuya DEG; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: daniellegarciafuruya@gmail.com., Shimada PS; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: polly_ana_shimada@outlook.com., Arana ARA; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: alba@unoeste.br., Favareto APA; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil. Electronic address: anafavareto@unoeste.br., Andrade ER; Universidade do Oeste Paulista (UNOESTE), Presidente Prudente, Brazil; Defense Eng. Graduate Program, Military Institute of Engineering (IME), Rio de Janeiro, Brazil; Nuclear Eng. Graduate Program, Military Institute of Engineering (IME), Rio de Janeiro, Brazil; Institute for Advanced Studies (IEAv), Brazilian Air Force, São Paulo, Brazil; Federal University of Itajubá, Institute of Physics and Chemistry, Itajubá, Minas Gerais, Brazil. Electronic address: andradepged@ime.eb.br.
Jazyk: angličtina
Zdroj: Journal of environmental radioactivity [J Environ Radioact] 2024 Mar; Vol. 273, pp. 107391. Date of Electronic Publication: 2024 Feb 04.
DOI: 10.1016/j.jenvrad.2024.107391
Abstrakt: The consequences of mass radiological events, particularly those involving the activation of a radiological dispersion device (RDD), have been extensively studied by scientific groups. However, the critical initial period of such an event, usually spanning the first 100 h, can be characterized by a scarcity of information, potentially leading to delays in mitigating strategies. In response, a research group utilized computer simulations to generate solid, conservative analytical details that can aid decision-making and guide the prioritization of initial care based on variables such as age, sex, location, and local atmospheric stability conditions. The study estimates the Lost Life Expectancy (LLE) and provides relevant information to increase support for decision-making and allow evaluation of data closer to the lay public. The research team behind the study has been granted funding by the Brazilian National Council for Scientific and Technological Development (CNPq), and further simulations will be conducted utilizing codes that implement numerical models, specifically in atmospheric data forecasting. The methodology used to evaluate the LLE can be applied to any location, provided that the relevant variables are updated accordingly. Overall, this study offers critical insights into the impact of mass radiological events and enhances simulations' predictive capacity and precision.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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