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

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 study areas are potential TB high risk zones, ranging from medium to very high risk. This is consistent with the findings obtained from overlay comparison with the current cases in 2015.The TB risk map and validation indicated a reasonable match with areas considered as potential TB risk areas, particularly in urban and crowded environments. Thus, a GIS-based MCDM technique can be applied in the national TB screening and monitoring programme.

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