Susceptibility Risk Index Mapping of Population at Tuberculosis Epidemic Risk

Abstract

This paper presents the spatial susceptibility risk mapping of tuberculosis (TB) using a geographical information system (GIS) index model and satellite remote sensing (RS) imagery. GIS and RS-based index approach is proposed as an alternative method in identifying potentially high-risk areas in Klang, Selangor. The level of risk for the selected socio-spatial factors and the risk map was classified into five-scale from level 1, which is no risk to level 5, which indicates high risk by applying an overlay analysis and a weighted linear combination. The risk index map shows that a high concentration of TB cases is located in the district's urban and crowded areas. Keywords: GIS-risk index model; remote sensing; susceptibility mapping; tuberculosis eISSN 2514-7528 ©2023. The Authors. Published for AMER & cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), and cE-Bs (Centre for Environment-Behaviour StudiesCollege of Built Environment, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/jabs.v8i24.423