Susceptibility Risk Index Mapping of Population at Tuberculosis Epidemic Risk

Journal of ASIAN Behavioural Studies Pub Date : 2023-04-30 DOI:10.21834/jabs.v8i24.423

A. R. Abdul Rasam, Wan Nor Syahirah Jumali, Ilham Abdul Jalil, Lalu Muhamad Jaelani

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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

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结核病流行危险人群易感风险指数制图

本文利用地理信息系统(GIS)指数模型和卫星遥感(RS)影像，建立了结核病(TB)的空间易感风险制图。地理信息系统和基于rs的指数方法被提议作为识别雪兰莪州巴生潜在高风险地区的替代方法。通过叠加分析和加权线性组合，将所选社会空间因素和风险图的风险等级从1级(无风险)到5级(高风险)划分为5个等级。风险指数图显示，结核病病例高度集中在该区的城市和拥挤地区。关键词:gis风险指数模型;遥感;易感性的映射;结核菌issn 2514-7528©2023。作者。英国e-国际出版社出版。这是一篇基于CC BY-NC-ND许可(http://creativecommons.org/licenses/by-nc-nd/4.0/)的开放获取文章。由马来西亚环境行为研究人员协会(AMER)和马来西亚玛拉理工大学建筑环境学院环境行为研究中心(cE-Bs)负责的同行评审。DOI: https://doi.org/10.21834/jabs.v8i24.423

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Journal of ASIAN Behavioural Studies

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