The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)

The main aim of this research is to propose an alternative method for estimating relative risk of mosquito-borne infectious disease mapping in Malaysia. This estimation method is based on stochastic SIR-SI model (susceptible-infectiverecovered for human populations; susceptible-infective for mosquit...

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Main Author:	Syafiqah Husna Mohd Imam Maarof
Format:	thesis
Language:	eng
Published:	2016
Subjects:	RA Public aspects of medicine
Online Access:	https://ir.upsi.edu.my/detailsg.php?det=1281
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spelling	oai:ir.upsi.edu.my:12812020-02-27 The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR) 2016 Syafiqah Husna Mohd Imam Maarof RA Public aspects of medicine The main aim of this research is to propose an alternative method for estimating relative risk of mosquito-borne infectious disease mapping in Malaysia. This estimation method is based on stochastic SIR-SI model (susceptible-infectiverecovered for human populations; susceptible-infective for mosquito populations). Based on previous research, relative risk estimation used total number of new infective cases at the denominator of the relative risk equation. In this research, relative risk estimation with the used of total posterior mean number of new infective cases at the denominator of the relative risk equation is introduced. This model is then been applied using data of mosquito-borne infectious disease from Malaysia. Data used in this research is provided by the Ministry of Health Malaysia which include 43339 dengue cases, 7 chikungunya cases and 3850 malaria cases for 16 states in Malaysia during year 2013. The findings revealed that the alternative method can overcome the problem of relative risk estimation, especially when there is no observed cases in certain regions. This is because this model considers spatial correlation between adjacent areas, takes into account the disease transmission model, as well as enable covariates adjustment which are known will contribute to the increasing number of disease cases. Pattern displayed on disease risk map proposed in this research can be used as reference by the authorities in preventing and reducing the cases of dengue, chikungunya and malaria in Malaysia. 2016 thesis https://ir.upsi.edu.my/detailsg.php?det=1281 https://ir.upsi.edu.my/detailsg.php?det=1281 text eng closedAccess Masters Universiti Pendidikan Sultan Idris Fakulti Sains dan Matematik N/A
institution	Universiti Pendidikan Sultan Idris
collection	UPSI Digital Repository
language	eng
topic	RA Public aspects of medicine
spellingShingle	RA Public aspects of medicine Syafiqah Husna Mohd Imam Maarof The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
description	The main aim of this research is to propose an alternative method for estimating relative risk of mosquito-borne infectious disease mapping in Malaysia. This estimation method is based on stochastic SIR-SI model (susceptible-infectiverecovered for human populations; susceptible-infective for mosquito populations). Based on previous research, relative risk estimation used total number of new infective cases at the denominator of the relative risk equation. In this research, relative risk estimation with the used of total posterior mean number of new infective cases at the denominator of the relative risk equation is introduced. This model is then been applied using data of mosquito-borne infectious disease from Malaysia. Data used in this research is provided by the Ministry of Health Malaysia which include 43339 dengue cases, 7 chikungunya cases and 3850 malaria cases for 16 states in Malaysia during year 2013. The findings revealed that the alternative method can overcome the problem of relative risk estimation, especially when there is no observed cases in certain regions. This is because this model considers spatial correlation between adjacent areas, takes into account the disease transmission model, as well as enable covariates adjustment which are known will contribute to the increasing number of disease cases. Pattern displayed on disease risk map proposed in this research can be used as reference by the authorities in preventing and reducing the cases of dengue, chikungunya and malaria in Malaysia.
format	thesis
qualification_name
qualification_level	Master's degree
author	Syafiqah Husna Mohd Imam Maarof
author_facet	Syafiqah Husna Mohd Imam Maarof
author_sort	Syafiqah Husna Mohd Imam Maarof
title	The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
title_short	The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
title_full	The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
title_fullStr	The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
title_full_unstemmed	The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)
title_sort	evaluation of stochastic mosquito-borne infectious disease mapping model in malaysia (ir)
granting_institution	Universiti Pendidikan Sultan Idris
granting_department	Fakulti Sains dan Matematik
publishDate	2016
url	https://ir.upsi.edu.my/detailsg.php?det=1281
_version_	1747832965044371456

The evaluation of stochastic mosquito-borne infectious disease mapping model in Malaysia (IR)

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