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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my-usm-ep.438822019-04-12T05:24:52Z Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor 2018-03 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 http://eprints.usm.my/43882/ http://eprints.usm.my/43882/1/ABDUL%20RAUF%20ABDUL%20RASAM.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Pendidikan Jarak Jauh |
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Universiti Sains Malaysia |
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English |
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LC5800-5808 Distance education. |
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LC5800-5808 Distance education. Rasam, Abdul Rauf Abdul Geospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangor |
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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. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Rasam, Abdul Rauf Abdul |
author_facet |
Rasam, Abdul Rauf Abdul |
author_sort |
Rasam, Abdul Rauf Abdul |
title |
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_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_sort |
geospatial modelling for potential high risk tuberculosis areas in shah alam, selangor |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat Pengajian Pendidikan Jarak Jauh |
publishDate |
2018 |
url |
http://eprints.usm.my/43882/1/ABDUL%20RAUF%20ABDUL%20RASAM.pdf |
_version_ |
1747821295954821120 |