Detecting dengue outbreaks in malaysia using geospatial techniques

Syahrul Nellis, Shih Keng Loong, Juraina Abd-Jamil, Rosmadi Fauzi, Sazaly Abubakar

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Dengue is a complex disease with an increasing number of infections worldwide. This study aimed to analyse spatiotemporal dengue outbreaks using geospatial techniques and examine the effects of the weather on dengue outbreaks in the Klang Valley area, Kuala Lumpur, Malaysia. Daily weather variables including rainfall, temperature (maximum and minimum) and wind speed were acquired together with the daily reported dengue cases data from 2001 to 2011 and converted into geospatial format to identify whether there was a specific pattern of the dengue outbreaks. The association between these variables and dengue outbreaks was assessed using Spearman’s correlation. The result showed that dengue outbreaks consistently occurred in the study area during a 11-year study period. And that the strongest outbreaks frequently occurred in two high-rise apartment buildings located in Kuala Lumpur City centre. The results also show significant negative correlations between maximum temperature and minimum temperature on dengue outbreaks around the study area as well as in the area of the high-rise apartment buildings in Kuala Lumpur City centre.

Original languageEnglish
Article number1008
Number of pages10
JournalGeospatial Health
Volume16
Issue number2
DOIs
Publication statusPublished - 19 Oct 2021
Externally publishedYes

Keywords

  • Dengue study
  • Epidemiology study
  • Geography information system
  • Health geography
  • Malaysia
  • Spatial analysis

Cite this