Deterministic And Stochastic Simulations Of Infectious Diseases

Modeling the dynamics of infectious disease transmission in a specific region is the main focus of this thesis. Movements of infective individuals from one region to another promote the spread of infectious diseases, such as severe acute respiratory syndrome (SARS) and influenza A (H1N1). The primar...

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Main Author:	Tan, Wai Kiat
Format:	Thesis
Language:	English
Published:	2013
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/43435/1/Tan%20Wai%20Kiat24.pdf
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id	my-usm-ep.43435
record_format	uketd_dc
spelling	my-usm-ep.434352019-04-12T05:26:17Z Deterministic And Stochastic Simulations Of Infectious Diseases 2013-04 Tan, Wai Kiat QA1 Mathematics (General) Modeling the dynamics of infectious disease transmission in a specific region is the main focus of this thesis. Movements of infective individuals from one region to another promote the spread of infectious diseases, such as severe acute respiratory syndrome (SARS) and influenza A (H1N1). The primary objective of this research is to develop the capability within Malaysian public health authorities to plan and implement intervention strategies that is effective for mitigating future epidemic outbreaks. The collaboration between health authorities and local community is essential in implementing mitigation measures to reduce local infection. For this purpose, an influenza simulation models-based upon the SIR formulation and codenamed FluSiM is developed to investigate the dynamics of infectious disease transmission and to suggest appropriate intervention strategies to control the epidemic outbreak. The user-friendly Window-based FluSiM is developed to aid university graduate students as well as academic researchers in conducting epidemiology related research. This version of FluSiM is also used to simulate the 1918 influenza pandemic in Switzerland, the H1N1 2009 in United States of America (USA) and Furunculosis in salmon population. This deterministic FluSiM is later enhanced into a stochastic model by incorporating stochasticity in disease transmission characteristics. This stochastic FluSiM is utilized to investigate the uncertainties during an epidemic outbreak. Simulations of stochastic FluSiM indicate that significant heterogeneity in population may be a hindrance to implementation of effective interventions. 2013-04 Thesis http://eprints.usm.my/43435/ http://eprints.usm.my/43435/1/Tan%20Wai%20Kiat24.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Tan, Wai Kiat Deterministic And Stochastic Simulations Of Infectious Diseases
description	Modeling the dynamics of infectious disease transmission in a specific region is the main focus of this thesis. Movements of infective individuals from one region to another promote the spread of infectious diseases, such as severe acute respiratory syndrome (SARS) and influenza A (H1N1). The primary objective of this research is to develop the capability within Malaysian public health authorities to plan and implement intervention strategies that is effective for mitigating future epidemic outbreaks. The collaboration between health authorities and local community is essential in implementing mitigation measures to reduce local infection. For this purpose, an influenza simulation models-based upon the SIR formulation and codenamed FluSiM is developed to investigate the dynamics of infectious disease transmission and to suggest appropriate intervention strategies to control the epidemic outbreak. The user-friendly Window-based FluSiM is developed to aid university graduate students as well as academic researchers in conducting epidemiology related research. This version of FluSiM is also used to simulate the 1918 influenza pandemic in Switzerland, the H1N1 2009 in United States of America (USA) and Furunculosis in salmon population. This deterministic FluSiM is later enhanced into a stochastic model by incorporating stochasticity in disease transmission characteristics. This stochastic FluSiM is utilized to investigate the uncertainties during an epidemic outbreak. Simulations of stochastic FluSiM indicate that significant heterogeneity in population may be a hindrance to implementation of effective interventions.
format	Thesis
qualification_level	Master's degree
author	Tan, Wai Kiat
author_facet	Tan, Wai Kiat
author_sort	Tan, Wai Kiat
title	Deterministic And Stochastic Simulations Of Infectious Diseases
title_short	Deterministic And Stochastic Simulations Of Infectious Diseases
title_full	Deterministic And Stochastic Simulations Of Infectious Diseases
title_fullStr	Deterministic And Stochastic Simulations Of Infectious Diseases
title_full_unstemmed	Deterministic And Stochastic Simulations Of Infectious Diseases
title_sort	deterministic and stochastic simulations of infectious diseases
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik
publishDate	2013
url	http://eprints.usm.my/43435/1/Tan%20Wai%20Kiat24.pdf
_version_	1747821213697179648

Deterministic And Stochastic Simulations Of Infectious Diseases

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