Literature DB >> 29665768

Support to triage and public risk perception considering long-term response to a Cs-137 radiological dispersive device scenario.

Cristiane Ps Andrade1, Cláudio J Souza2, Eduardo Sn Camerini3, Isabela S Alves1, Hélio C Vital4, Matthew Jf Healy5, Edson Ramos De Andrade1,4,6.   

Abstract

A radiological dispersive device (RDD) spreads radioactive material, complicates the treatment of physical injuries, raises cancer risk, and induces disproportionate fear. Simulating such an event enables more effective and efficient utilization of the triage and treatment resources of staff, facilities, and space. Fast simulation can give detail on events in progress or future events. The resources for triage and treatment of contaminated trauma victims can differ for pure exposure individuals, while discouraging the "worried well" from presenting in the crisis phase by media announcement would relieve pressure on hospital facilities. The proposed methodology integrates capabilities from different platforms in a convergent way composed of three phases: (a) scenario simulation, (b) data generation, and (c) risk assessment for triage focused on follow-up epidemiological assessment. Simulations typically indicate that most of the affected population does not require immediate medical assistance. Medical triage for the few severely injured and the radiological triage to diminish the contamination with radioactivity will always be the priority. For this study, however, higher priorities should be given to individuals from radiological "warm" and "hot" zones as required by risk criteria. The proposed methodology could thus help to (a) filter and reduce the number of individuals to be attended, (b) optimize the prioritization of medical care, (c) reduce or prepare for future costs, (d) effectively locate the operational triage site to avoid possible contamination on the main facility, and (e) provide the scientific data needed to develop an adequate approach to risk and its proper communication.

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Keywords:  Consequences; environment; public health; radiation; risk; triage

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Year:  2018        PMID: 29665768     DOI: 10.1177/0748233718762920

Source DB:  PubMed          Journal:  Toxicol Ind Health        ISSN: 0748-2337            Impact factor:   2.273


  1 in total

1.  Solid cancer risk dependence on the Pasquill-Gifford atmospheric stability classes in a radiological event.

Authors:  Valquiria M Bulhosa; Renata P N Funcke; Tercio Brum; Juliana S Sanchez; Zelmo R Lima; Hélio C Vital; Matjaž Prah; Edson R Andrade
Journal:  Radiat Environ Biophys       Date:  2020-03-27       Impact factor: 1.925

  1 in total

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