Mapping of Dengue Outbreak Distribution Using Spatial Statistics and Geographical Information System
Title | Mapping of Dengue Outbreak Distribution Using Spatial Statistics and Geographical Information System |
Publication Type | Conference Paper |
Year of Publication | 2015 |
Authors | Latif, Z. A., Mohamad, M. H. |
Conference Name | 2015 2nd International Conference on Information Science and Security (ICISS) |
Date Published | dec |
Publisher | IEEE |
ISBN Number | 978-1-4673-8611-1 |
Keywords | Aedes mosquito-borne disease, ANN, Artificial neural networks, average nearest neighbor, buffer analysis, Data analysis, dengue fever outbreak distribution, diseases, Estimation, estimation theory, geographic information systems, geographical information system, GIS, KDE, Kernel, kernel density estimation, pattern classification, pubcrawl170107, pubcrawl170108, risk analysis, risk map, Rivers, spatial statistics, Urban areas |
Abstract | This study presents spatial analysis of Dengue Fever (DF) outbreak using Geographic Information System (GIS) in the state of Selangor, Malaysia. DF is an Aedes mosquito-borne disease. The aim of the study is to map the spread of DF outbreak in Selangor by producing a risk map while the objective is to identify high risk areas of DF by producing a risk map using GIS tools. The data used was DF dengue cases in 2012 obtained from Ministry of Health, Malaysia. The analysis was carried out using Moran's I, Average Nearest Neighbor (ANN), Kernel Density Estimation (KDE) and buffer analysis using GIS. From the Moran's I analysis, the distribution pattern of DF in Selangor clustered. From the ANN analysis, the result shows a dispersed pattern where the ratio is more than 1. The third analysis was based on KDE to locate the hot spot location. The result shows that some districts are classified as high risk areas which are Ampang, Damansara, Kapar, Kajang, Klang, Semenyih, Sungai Buloh and Petaling. The buffer analysis, area ranges between 200m. to 500m. above sea level shows a clustered pattern where the highest frequent cases in the year are at the same location. It was proven that the analysis based on the spatial statistic, spatial interpolation, and buffer analysis can be used as a method in controlling and locating the DF affection with the aid of GIS. |
URL | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7371016&isnumber=7370954 |
DOI | 10.1109/ICISSEC.2015.7371016 |
Citation Key | latif_mapping_2015 |
- GIS
- Urban areas
- spatial statistics
- Rivers
- risk map
- risk analysis
- pubcrawl170108
- pubcrawl170107
- pattern classification
- kernel density estimation
- Kernel
- KDE
- Aedes mosquito-borne disease
- geographical information system
- geographic information systems
- estimation theory
- estimation
- diseases
- dengue fever outbreak distribution
- data analysis
- buffer analysis
- average nearest neighbor
- Artificial Neural Networks
- ANN