NDLI: Recommended factors for triage categories using Simulation Modelling

Content Provider	IEEE Xplore Digital Library
Author	binti Ab Hamid, A.H. Samah, A.A. Majid, H.A. Anwar, S. Abd Rozan, M.Z. Deris, S. Ibrahim, R. Hashim, S.
Copyright Year	2011
Description	Author affiliation: Faculty of Science, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia (Hashim, S.) \|\| Pennsylvania State University, United States of America (Anwar, S.) \|\| Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru, Malaysia (Samah, A.A.; Majid, H.A.; Abd Rozan, M.Z.; Deris, S.; Ibrahim, R.) \|\| Malaysian Nuclear Agency (NuclearMalaysia), Malaysia (binti Ab Hamid, A.H.)
Abstract	Malaysia is in advancement towards the establishment of effective and efficient energy mix plan within its Nuclear Power Programme (NPP) resulting from current governance acceptance and support. Prior precautions have been inculcated in order to comprehend nuclear energy accountability in striving high income economic growth and energy security. This paper is attempting to prescribe nuclear safety recommendations encompassing radiation and nuclear (RN) event recovery phase within integrated disaster operations management (DOM) activities from Soft System Methodology (SSM) perspective by using Simulation Modelling. Possibly, this method is introduced in order to recommend triage categories for vulnerable population groups which are commonly at-risks during RN emergencies, incidents and disasters. Therefore, this paper will proposed some factors of triage categories which may affect these groups whereby representing an initial system map. It is concluded that prioritized suggestions given could possibly ascertain the characteristics of other interventions involved in order to achieve a sustainable and secure nuclear safety in the future.
Starting Page	1
Ending Page	6
File Size	509069
Page Count	6
File Format	PDF
ISBN	9781612842950
e-ISBN	9781612842943
DOI	10.1109/ICRIIS.2011.6125700
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptation models Computational modeling Biological system modeling Humans Simulation modelling Medical services Safety Mathematical model Vulnerable population groups Soft system methodology
Content Type	Text
Resource Type	Article

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