Modelling dynamics of victims' stress during natural disaster

Natural disaster is one of the inescapable phenomenon through which numerous number of individuals are being affected via developing psychological problems. Stress is one of the essential psychological effects of natural disaster; it is a reality of nature where forces from the outside world affect...

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Main Author:	Ali, Hayder Mohammed Ali
Format:	Thesis
Language:	eng eng
Published:	2014
Subjects:	BF Psychology
Online Access:	https://etd.uum.edu.my/4374/1/s812204.pdf https://etd.uum.edu.my/4374/2/s812204_abstract.pdf
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id	my-uum-etd.4374
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ab Aziz, Azizi Ahmad, Faudziah
topic	BF Psychology
spellingShingle	BF Psychology Ali, Hayder Mohammed Ali Modelling dynamics of victims' stress during natural disaster
description	Natural disaster is one of the inescapable phenomenon through which numerous number of individuals are being affected via developing psychological problems. Stress is one of the essential psychological effects of natural disaster; it is a reality of nature where forces from the outside world affect individuals exposed to such phenomenon. In computational psychology domains, computational models were used as tools for understanding human cognitive functions and behavioural patterns. Meanwhile, psychological and cognitive theories as well as empirical studies have provided convergent evidence to identify important factors and psychological attributes that affect the stress level of victims during natural disaster. Therefore, this study implements a formal model (computational model) to understand the current state of victims' stress during natural disaster. From related theories, 22 of basic factors have been established and grouped into 7 main categories that include predisposed factors, resources, individual attributes, appraisal, resilience, coping, and stress. Those factors provide the fundamental knowledge of the behaviours of victims after disaster occurrence. A formal model was developed by using a set of differential equations. Later, this model was simulated by applying related scenarios based on three different cases, namely; 1) a good victim with low level of stress, 2) victim with high level of stress, and 3) victim with moderate level of stress) through the use of Matlab as a programming language. This computational model was then verified using two techniques; 1) logical verification (Temporal Trace Language) and 2) mathematical verification (stability analysis). The experimental results have approximately predicted why victims develop stress differently when facing natural disasters.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Ali, Hayder Mohammed Ali
author_facet	Ali, Hayder Mohammed Ali
author_sort	Ali, Hayder Mohammed Ali
title	Modelling dynamics of victims' stress during natural disaster
title_short	Modelling dynamics of victims' stress during natural disaster
title_full	Modelling dynamics of victims' stress during natural disaster
title_fullStr	Modelling dynamics of victims' stress during natural disaster
title_full_unstemmed	Modelling dynamics of victims' stress during natural disaster
title_sort	modelling dynamics of victims' stress during natural disaster
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2014
url	https://etd.uum.edu.my/4374/1/s812204.pdf https://etd.uum.edu.my/4374/2/s812204_abstract.pdf
_version_	1747827725764132864
spelling	my-uum-etd.43742022-04-09T23:51:48Z Modelling dynamics of victims' stress during natural disaster 2014 Ali, Hayder Mohammed Ali Ab Aziz, Azizi Ahmad, Faudziah Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences BF Psychology Natural disaster is one of the inescapable phenomenon through which numerous number of individuals are being affected via developing psychological problems. Stress is one of the essential psychological effects of natural disaster; it is a reality of nature where forces from the outside world affect individuals exposed to such phenomenon. In computational psychology domains, computational models were used as tools for understanding human cognitive functions and behavioural patterns. Meanwhile, psychological and cognitive theories as well as empirical studies have provided convergent evidence to identify important factors and psychological attributes that affect the stress level of victims during natural disaster. Therefore, this study implements a formal model (computational model) to understand the current state of victims' stress during natural disaster. From related theories, 22 of basic factors have been established and grouped into 7 main categories that include predisposed factors, resources, individual attributes, appraisal, resilience, coping, and stress. Those factors provide the fundamental knowledge of the behaviours of victims after disaster occurrence. A formal model was developed by using a set of differential equations. Later, this model was simulated by applying related scenarios based on three different cases, namely; 1) a good victim with low level of stress, 2) victim with high level of stress, and 3) victim with moderate level of stress) through the use of Matlab as a programming language. This computational model was then verified using two techniques; 1) logical verification (Temporal Trace Language) and 2) mathematical verification (stability analysis). The experimental results have approximately predicted why victims develop stress differently when facing natural disasters. 2014 Thesis https://etd.uum.edu.my/4374/ https://etd.uum.edu.my/4374/1/s812204.pdf text eng public https://etd.uum.edu.my/4374/2/s812204_abstract.pdf text eng public masters masters Universiti Utara Malaysia Aziz, A., & Klein, M. C. (2010). Design of an intelligent support agent model for people with a cognitive vulnerability. Paper presented at the Cognitive Informatics (ICCI), 2010 9th IEEE International Conference. 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Modelling dynamics of victims' stress during natural disaster

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