International Journal of Advanced and Applied Sciences
Int. j. adv. appl. sci.
Volume 3, Issue 7 (July 2016), Pages: 60-68
Title: Evaluation of spatial risk factor for leptospirosis outbreak using GIS application
Authors: Ahmad Afiq Hassan 1, Khairul Nizam Tahar 1, 2,*
1Centre of Studies for Surveying Science and Geomatics, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
2Applied Remote Sensing and Geospatial Research Group, Faculty of Architecture, Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
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The aim of this research is to evaluate the spatial risk factor for high incidence of Leptospirosis outbreak by using GIS application. This research also identifies the factor that increases incidence of Leptospirosis in Petaling district. Data involves in the research is Leptospirosis cases data from Selangor State Health Department Another data is digital base map of Petaling district from Department of Survey and Mapping. The factors used to determine Leptospirosis risk area namely land use, population and temperature data. The land use data is obtained from Town & Country Planning Department, population data is from Department of Statistics and temperature data is extracted from satellite image using Landsat 8 image. The determination of leptospirosis incidence is made by produce Leptospirosis distribution map (LDM). The LDM is produced using overlay method which is intersecting method and symbology. The identification of factors that increases the leptospirosis incidence is made by producing a Leptospirosis risk map (LRM). A LRM is produced using Getis-OrdGi* 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.
© 2016 The Authors. Published by IASE.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Spatial analysis, Disease, Prediction, Assessment, Monitoring
Article History: Received 9 May 2016, Received in revised form 25 July 2016, Accepted 26 July 2016
Digital Object Identifier: http://dx.doi.org/10.21833/ijaas.2016.07.010
Hassan AA and Tahar KN (2016). Evaluation of spatial risk factor for leptospirosis outbreak using GIS application. International Journal of Advanced and Applied Sciences, 3(7): 60-68
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