Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor

Malaysia has a medium burden of tuberculosis (TB) incidence based on World Health Organization (WHO) indicator, but the current trend of TB cases is generally increasing. The Ministry of Health (MOH), Malaysia has set up several guidelines to control the disease, however, the national TB technical...

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Main Author: Rasam, Abdul Rauf Abdul
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.usm.my/43882/
http://eprints.usm.my/43882/1/ABDUL%20RAUF%20ABDUL%20RASAM.pdf
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author Rasam, Abdul Rauf Abdul
author_facet Rasam, Abdul Rauf Abdul
author_sort Rasam, Abdul Rauf Abdul
building USM Institutional Repository
collection Online Access
description Malaysia has a medium burden of tuberculosis (TB) incidence based on World Health Organization (WHO) indicator, but the current trend of TB cases is generally increasing. The Ministry of Health (MOH), Malaysia has set up several guidelines to control the disease, however, the national TB technical report in 2015 highlighted that existing detection methods of TB on the site still need to be improved to strenghten the current TB control programme. A geospatial model is proposed in this study to identify potential high-risk areas of TB and targeted risk population especially for missing cases and undiagnosed people.
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institution Universiti Sains Malaysia
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language English
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spelling usm-438822019-04-12T05:24:52Z http://eprints.usm.my/43882/ Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor Rasam, Abdul Rauf Abdul LC5800-5808 Distance education. Malaysia has a medium burden of tuberculosis (TB) incidence based on World Health Organization (WHO) indicator, but the current trend of TB cases is generally increasing. The Ministry of Health (MOH), Malaysia has set up several guidelines to control the disease, however, the national TB technical report in 2015 highlighted that existing detection methods of TB on the site still need to be improved to strenghten the current TB control programme. A geospatial model is proposed in this study to identify potential high-risk areas of TB and targeted risk population especially for missing cases and undiagnosed people. 2018-03 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/43882/1/ABDUL%20RAUF%20ABDUL%20RASAM.pdf Rasam, Abdul Rauf Abdul (2018) Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor. PhD thesis, Universiti Sains Malaysia.
spellingShingle LC5800-5808 Distance education.
Rasam, Abdul Rauf Abdul
Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title_full Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title_fullStr Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title_full_unstemmed Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title_short Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor
title_sort geospatial modelling for potential high risk tuberculosis areas in shah alam, selangor
topic LC5800-5808 Distance education.
url http://eprints.usm.my/43882/
http://eprints.usm.my/43882/1/ABDUL%20RAUF%20ABDUL%20RASAM.pdf