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Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia

TB case is a widespread disease which is one of several factors that cause millions of death worldwide.It can become epidemic and also pandemic if it is not controlled. In Malaysia, the numbers of TB cases reported keep on increasing from year to year. Disease mapping can show clear picture of the r...

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Main Authors: Mohd Diah, Ijlal, Aziz, Nazrina, Ahmad, Nazihah
Format: Article
Language:English
Published: MAXWELL Science Publication 2016
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/24770/1/RJAS%2011%209%202016%2011%209.pdf
http://repo.uum.edu.my/24770/
https://www.medwelljournals.com/abstract/?doi=rjasci.2016.822.825
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spelling my.uum.repo.247702018-09-19T08:02:45Z http://repo.uum.edu.my/24770/ Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia Mohd Diah, Ijlal Aziz, Nazrina Ahmad, Nazihah QA75 Electronic computers. Computer science TB case is a widespread disease which is one of several factors that cause millions of death worldwide.It can become epidemic and also pandemic if it is not controlled. In Malaysia, the numbers of TB cases reported keep on increasing from year to year. Disease mapping can show clear picture of the risk areas.Hence, it can be used as the prevention strategies and in controlling a disease.However to get an accurate disease map, it relies on the modelling used to estimate the relative risk. Relative risk estimation is important when studying disease mapping. Therefore, the aim of this study is to estimate relative risk for TB disease transmission using one of the earliest applications of Bayesian methodology in disease mapping that is Poisson-gamma model.This relative risk estimation is applied to TB data in Malaysia.Then this result will be displayed in a map to represent TB risk areas.Perlis, Kedah, N. Sembilan, Melaka, Pahang and Terengganu have low risk of TB occurrences while Pulau Pinang, Kuala Lumpur & Putrajaya, Sarawak and Sabah (including Labuan) show very high risk areas. MAXWELL Science Publication 2016 Article PeerReviewed application/pdf en http://repo.uum.edu.my/24770/1/RJAS%2011%209%202016%2011%209.pdf Mohd Diah, Ijlal and Aziz, Nazrina and Ahmad, Nazihah (2016) Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia. Research Journal of Applied Sciences, Engineering and Technology, 11 (9). pp. 822-825. ISSN 2040-7459 https://www.medwelljournals.com/abstract/?doi=rjasci.2016.822.825
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Mohd Diah, Ijlal
Aziz, Nazrina
Ahmad, Nazihah
Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
description TB case is a widespread disease which is one of several factors that cause millions of death worldwide.It can become epidemic and also pandemic if it is not controlled. In Malaysia, the numbers of TB cases reported keep on increasing from year to year. Disease mapping can show clear picture of the risk areas.Hence, it can be used as the prevention strategies and in controlling a disease.However to get an accurate disease map, it relies on the modelling used to estimate the relative risk. Relative risk estimation is important when studying disease mapping. Therefore, the aim of this study is to estimate relative risk for TB disease transmission using one of the earliest applications of Bayesian methodology in disease mapping that is Poisson-gamma model.This relative risk estimation is applied to TB data in Malaysia.Then this result will be displayed in a map to represent TB risk areas.Perlis, Kedah, N. Sembilan, Melaka, Pahang and Terengganu have low risk of TB occurrences while Pulau Pinang, Kuala Lumpur & Putrajaya, Sarawak and Sabah (including Labuan) show very high risk areas.
format Article
author Mohd Diah, Ijlal
Aziz, Nazrina
Ahmad, Nazihah
author_facet Mohd Diah, Ijlal
Aziz, Nazrina
Ahmad, Nazihah
author_sort Mohd Diah, Ijlal
title Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
title_short Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
title_full Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
title_fullStr Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
title_full_unstemmed Tuberculosis Disease Mapping with Poisson-Gamma Model in Malaysia
title_sort tuberculosis disease mapping with poisson-gamma model in malaysia
publisher MAXWELL Science Publication
publishDate 2016
url http://repo.uum.edu.my/24770/1/RJAS%2011%209%202016%2011%209.pdf
http://repo.uum.edu.my/24770/
https://www.medwelljournals.com/abstract/?doi=rjasci.2016.822.825
_version_ 1644284136673771520
score 13.211869

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