Corpus ID: 52904707

Mapping risk areas of tuberculosis using knowledge-driven GIS model in Shah Alam, Malaysia

@article{Rasam2017MappingRA,
  title={Mapping risk areas of tuberculosis using knowledge-driven GIS model in Shah Alam, Malaysia},
  author={Abdul Rauf Abdul Rasam and N. M. Shariff and J. F. Dony and Punitha Makeswaran},
  journal={Pertanika journal of social science and humanities},
  year={2017},
  volume={25},
  pages={135-144}
}
  • Abdul Rauf Abdul Rasam, N. M. Shariff, +1 author Punitha Makeswaran
  • Published 2017
  • Computer Science
  • Pertanika journal of social science and humanities
  • Developing a model to map tuberculosis (TB) cases in Malaysia for boosting early detection is vital. A knowledge-driven geographical information system (GIS) modelling is an alternative approach developed for assessing potential risk areas of TB at Section 17, Shah Alam, Selangor. It is a weight-rating score model and spatial multi-criteria decision making (MCDM) method for producing a ranked map based on the index values and risk indicators with a five-score scale. Results showed 34.85% of the… CONTINUE READING
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    SHOWING 1-10 OF 29 REFERENCES
    Participatory Risk Mapping of Malaria Vector Exposure in Northern South America using Environmental and Population Data.
    • 32
    Investigation of space-time clusters and geospatial hot spots for the occurrence of tuberculosis in Beijing.
    • Ying-jie Liu, X. Li, +7 authors X. Guo
    • Medicine
    • The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease
    • 2012
    • 40
    Tuberculosis and living conditions in Salvador, Brazil: a spatial analysis.
    • 11
    • PDF
    Spatial analysis of tuberculosis in Douala, Cameroon: clustering and links with socio-economic status.
    • 21
    Spatial modelling of disease using data- and knowledge-driven approaches.
    • 77
    Clustered tuberculosis incidence in Bandar Lampung, Indonesia
    • 9
    • PDF