The evaluation of spatial risk factors for leptospirosis outbreak using GIS application / Ahmad Afiq Hassan and Khairul Nizam Tahar

• Main Authors: Hassan, Ahmad Afiq, Tahar, Khairul Nizam
• Format: Article
• Language: English
• Published: Faculty of Architecture, Planning & Surveying and UiTM Press 2014
• Subjects: Malaysia; Regression analysis. Correlation analysis. Spatial analysis (Statistics); Leptospirosis
• Online Access: http://ir.uitm.edu.my/id/eprint/13622/1/AJ_AHMAD%20AFIQ%20HASSAN%20BEJ%2014%201.pdf; http://ir.uitm.edu.my/id/eprint/13622/; https://bej.uitm.edu.my/

The objective of this research is to determine the factor that increase incidence of leptospirosis in Petaling district based on leptospirosis risk map (LRM). Data involves in the research is leptospirosis cases data from Selangor State Health Department The factors used to determine leptospirosis risk area namely land use, population and temperature data. The determination of leptospirosis incidence is made by produce leptospirosis distribution map (LDM). The LDM is produce using overlay method which is intersecting method. The identification of factors that increase the leptospirosis incidence is made by produce a Leptospirosis risk map (LRM). A LRM is produce using Getis-Ord G/* technique. The determination of risk area is based on several factors including land use and population factors. The used of GIS application to evaluate the health problem is one of the suitable methods compared with conventional method that made analysis based on the graphs and tables only. GIS has advantage such as can facilitate a disease data that can be accessed quickly even in large numbers, providing a dynamic system analysis and has a good technique to display, monitors and manage disease outbreak well.