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

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dc.contributor.authorAbdul Rasam, Abdul Rauf
dc.date.accessioned2019-03-27T06:34:30Z
dc.date.available2019-03-27T06:34:30Z
dc.date.issued2018-03
dc.description.abstractMalaysia 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. This study has four main objectives: i) to examine the spatial pattern and clustering of TB distribution, ii) to determine the influential risk factors contributing to local TB cases, iii) to develop a geospatial eopidemic model (GeoEM) for potential high-risk TB areas, and iv) to validate the model of GeoEM for actual application. Shah Alam in the district of Petaling is selected as a study area since it has recorded constant TB cases and it also has a diversity of environment related TB risk factors. GeoEM is innovatively developed using spatial epidemiology (SE) approach, geographical information system (GIS), GIS-multicriteria decision making (MCDM) method, logistic regression and geostatistical method. The overall spatial pattern of TB in Shah Alam is a slight medium random that exists in certain clustered areas. TB clustering was concentrated around northern zone, central zone and a few areas around southern zone. There are 10 main sections from 47 sections which have significant relationships with the clustering. It comprises section U17, U18, U19, U20, S7, S17, S18, S20, S27 and S28. These risk areas have similar geographical features as occurred to the high burden countries worldwide. The results stimulate new attribue of risk factor and interpretaion on the disease that is scattered towards north-eastern zone due to the new township development and human mobility.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/7892
dc.language.isoenen_US
dc.publisherUniversiti Sains Malaysiaen_US
dc.subjectGeospatial modelling for potential high risken_US
dc.subjecttuberculosis areas in shah alam, Selangoren_US
dc.titleGeospatial Modelling For Potential High Risk Tuberculosis Areas In Shah Alam, Selangoren_US
dc.typeThesisen_US
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