Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia
Dengue has now emerged as one of the major public health problems in Malaysia. It was first reported in 1901 in Penang and since then the disease has become endemic concentrating mostly in urban areas. This study used the temporal-spatial model to determine high risk areas for dengue outbreak by mea...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Published: |
Thai Society of Higher Education Institutes on Environment
2012
|
| _version_ | 1825929518101037056 |
|---|---|
| author | Che Dom, Nazri Abd Latif, Zulkiflee Ahmad, Abu Hassan Ismail, Rodziah Pradhan, Biswajeet |
| author_facet | Che Dom, Nazri Abd Latif, Zulkiflee Ahmad, Abu Hassan Ismail, Rodziah Pradhan, Biswajeet |
| author_sort | Che Dom, Nazri |
| collection | UPM |
| description | Dengue has now emerged as one of the major public health problems in Malaysia. It was first reported in 1901 in Penang and since then the disease has become endemic concentrating mostly in urban areas. This study used the temporal-spatial model to determine high risk areas for dengue outbreak by measuring three temporal risk characteristics (i.e. frequency, duration and intensity) in order to define the severity and magnitude of outbreak transmission. This study examined a total of 4,651 confirmed dengue fever cases, geo-coded by address in the city of Subang Jaya between January 2006 and December 2009. The values of the three indices were considered high in a spatial unit when their standard values were positive. Measurement of the three temporal risk indices found that there were areas with significant high value for each of the temporal indices. This suggested that areas within Subang Jaya Municipality had different temporal characteristics for dengue occurrence. The utilization of three risk measures enabled to identify higher-risk areas for the occurrence of dengue fever. Even though case notification data are subjected to bias, this information is available in the health services and can lead to important conclusions, recommendations and hypotheses. As a recommendation, the temporal risk indices can be utilized by public health officials to characterize dengue rather than relying on the traditional case incidence data. |
| first_indexed | 2024-03-06T08:57:55Z |
| format | Article |
| id | upm.eprints-44354 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T08:57:55Z |
| publishDate | 2012 |
| publisher | Thai Society of Higher Education Institutes on Environment |
| record_format | dspace |
| spelling | upm.eprints-443542023-12-25T08:43:35Z http://psasir.upm.edu.my/id/eprint/44354/ Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia Che Dom, Nazri Abd Latif, Zulkiflee Ahmad, Abu Hassan Ismail, Rodziah Pradhan, Biswajeet Dengue has now emerged as one of the major public health problems in Malaysia. It was first reported in 1901 in Penang and since then the disease has become endemic concentrating mostly in urban areas. This study used the temporal-spatial model to determine high risk areas for dengue outbreak by measuring three temporal risk characteristics (i.e. frequency, duration and intensity) in order to define the severity and magnitude of outbreak transmission. This study examined a total of 4,651 confirmed dengue fever cases, geo-coded by address in the city of Subang Jaya between January 2006 and December 2009. The values of the three indices were considered high in a spatial unit when their standard values were positive. Measurement of the three temporal risk indices found that there were areas with significant high value for each of the temporal indices. This suggested that areas within Subang Jaya Municipality had different temporal characteristics for dengue occurrence. The utilization of three risk measures enabled to identify higher-risk areas for the occurrence of dengue fever. Even though case notification data are subjected to bias, this information is available in the health services and can lead to important conclusions, recommendations and hypotheses. As a recommendation, the temporal risk indices can be utilized by public health officials to characterize dengue rather than relying on the traditional case incidence data. Thai Society of Higher Education Institutes on Environment 2012 Article PeerReviewed Che Dom, Nazri and Abd Latif, Zulkiflee and Ahmad, Abu Hassan and Ismail, Rodziah and Pradhan, Biswajeet (2012) Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia. EnvironmentAsia, 5 (2). pp. 82-92. ISSN 2586-8861 https://tshe.org/ea/ea_july2012.html 10.14456/ea.2012.22 |
| spellingShingle | Che Dom, Nazri Abd Latif, Zulkiflee Ahmad, Abu Hassan Ismail, Rodziah Pradhan, Biswajeet Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title | Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title_full | Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title_fullStr | Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title_full_unstemmed | Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title_short | Manifestation of GIS tools for spatial pattern distribution analysis of dengue fever epidemic in the city of Subang Jaya, Malaysia |
| title_sort | manifestation of gis tools for spatial pattern distribution analysis of dengue fever epidemic in the city of subang jaya malaysia |
| work_keys_str_mv | AT chedomnazri manifestationofgistoolsforspatialpatterndistributionanalysisofdenguefeverepidemicinthecityofsubangjayamalaysia AT abdlatifzulkiflee manifestationofgistoolsforspatialpatterndistributionanalysisofdenguefeverepidemicinthecityofsubangjayamalaysia AT ahmadabuhassan manifestationofgistoolsforspatialpatterndistributionanalysisofdenguefeverepidemicinthecityofsubangjayamalaysia AT ismailrodziah manifestationofgistoolsforspatialpatterndistributionanalysisofdenguefeverepidemicinthecityofsubangjayamalaysia AT pradhanbiswajeet manifestationofgistoolsforspatialpatterndistributionanalysisofdenguefeverepidemicinthecityofsubangjayamalaysia |