IDENTIFYING HIGH-RISK POPULATIONS OF TUBERCULOSIS USING ENVIRONMENTAL FACTORS AND GIS BASED MULTI-CRITERIA DECISION MAKING METHOD

9 citations as recorded by crossref.

1. IDENTIFYING THE OPTIMAL PLACEMENT OF SPATIAL WIND ENERGY FARMS IN SELANGOR, MALAYSIA M. Mohd Zubir et al. 10.21837/pm.v20i21.1109
2. Geospatial-Based Model for Diagnosing Potential High-Risk Areas of Tuberculosis Disease in Malaysia A. Abdul Rasam et al. 10.1051/matecconf/201926602007
3. Web GIS based assessment using SAW methods to identify high risk areas of tuberculosis transmission and incidence in Bandar Lampung City A. Hijriani & A. Cahyani 10.1088/1742-6596/1751/1/012033
4. INTEGRATING SPATIAL COST PATH AND MULTI-CRITERIA ANALYSIS FOR FINDING ALTERNATIVE ROUTES DURING FLOODING A. Abdul Rasam et al. 10.21837/pm.v21i26.1264
5. LANDSLIDE SUSCEPTIBILITY INDEX AND NETWORK MAPPING FOR SPOTTING THE AFFECTED AND ALTERNATIVE PLANNING ROUTES A. Abdul Rasam et al. 10.21837/pm.v21i26.1266
6. THE ROLE OF GEOSPATIAL ARTIFICIAL INTELLIGENCE (GEOAI) IN SMART BUILT ENVIRONMENT MAPPING: AUTOMATIC OBJECT DETECTION OF RASTER TOPOGRAPHIC MAPS IN MALAYSIA S. Jaafar et al. 10.21837/pm.v22i34.1589
7. Socio-Economic Characteristics of Urban Tuberculosis Areas in Petaling, Selangor: A Current Spatial Exploratory Scenario N. Mohd Zaini et al. 10.1088/1755-1315/1067/1/012041
8. E-Atlas of Health in Selangor, Malaysia M. Omar et al. 10.1088/1755-1315/767/1/012006
9. Geospatial and Temporal Analysis of Avian Influenza Risk in Thailand: A GIS‐Based Multi‐Criteria Decision Analysis Approach for Enhanced Surveillance and Control W. Sangrat et al. 10.1155/2024/6474182