Spatial mapping of dengue incidence: A case study in Hulu Langat district, Selangor, Malaysia

Ah Choy Er, M. H. Rosli, A. Asmahani, M. R. Mohamad Naim, M. Harsuzilawati

Research output: Contribution to journalArticle

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Abstract

Dengue is a mosquito-borne infection that has peaked to an alarming rate in recent decades. It can be found in tropical and sub-tropical climate. In Malaysia, dengue has been declared as one of the national health threat to the public. This study aimed to map the spatial distributions of dengue cases in the district of Hulu Langat, Selangor via a combination of Geographic Information System (GIS) and spatial statistic tools. Data related to dengue was gathered from the various government health agencies. The location of dengue cases was geocoded using a handheld GPS Juno SB Trimble. A total of 197 dengue cases occurring in 2003 were used in this study. Those data then was aggregated into sub-district level and then converted into GIS format. The study also used population or demographic data as well as the boundary of Hulu Langat. To assess the spatial distribution of dengue cases three spatial statistics method (Moran's I, average nearest neighborhood (ANN) and kernel density estimation) were applied together with spatial analysis in the GIS environment. Those three indices were used to analyze the spatial distribution and average distance of dengue incidence and to locate the hot spot of dengue cases. The results indicated that the dengue cases was clustered (p < 0.01) when analyze using Moran's I with z scores 5.03. The results from ANN analysis showed that the average nearest neighbor ratio is less than 1 which is 0.518755 (p < 0.0001). From this result, we can expect the dengue cases pattern in Hulu Langat district is exhibiting a cluster pattern. The z-score for dengue incidence within the district is -13.0525 (p < 0.0001). It was also found that the significant spatial autocorrelation of dengue incidences occurs at an average distance of 380.81 meters (p < 0.0001). Several locations especially residential area also had been identified as the hot spots of dengue cases in the district.

Original languageEnglish
Pages (from-to)29-33
Number of pages5
JournalWorld Academy of Science, Engineering and Technology
Volume67
Publication statusPublished - Jul 2010

Fingerprint

Geographic information systems
Spatial distribution
Health
Statistics
Autocorrelation
Global positioning system

Keywords

  • Dengue
  • Geographic information system (GIS)
  • Spatial analysis
  • Spatial statistics

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Spatial mapping of dengue incidence : A case study in Hulu Langat district, Selangor, Malaysia. / Er, Ah Choy; Rosli, M. H.; Asmahani, A.; Mohamad Naim, M. R.; Harsuzilawati, M.

In: World Academy of Science, Engineering and Technology, Vol. 67, 07.2010, p. 29-33.

Research output: Contribution to journalArticle

Er, Ah Choy ; Rosli, M. H. ; Asmahani, A. ; Mohamad Naim, M. R. ; Harsuzilawati, M. / Spatial mapping of dengue incidence : A case study in Hulu Langat district, Selangor, Malaysia. In: World Academy of Science, Engineering and Technology. 2010 ; Vol. 67. pp. 29-33.
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