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Lost life expectancy following a hypothetical urban radiological incident.
Neves, Suzana C T; Horta, Luis R P; Machado, Rodrigo V; Furuya, Danielle E G; Shimada, Pollyana S; Arana, Alba R A; Favareto, Ana Paula A; Andrade, Edson R.
Afiliação
  • 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)
J Environ Radioact ; 273: 107391, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38316100
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento de Radiação Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Environ Radioact Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento de Radiação Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Environ Radioact Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de publicação: Reino Unido