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Dengue outbreaks in Kuala Lumpur show consistent patterns, frequently occurring in high-rise buildings. Weather analysis reveals significant negative correlations between temperature and dengue outbreaks, impacting public health strategies.

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Area of Science:

  • Environmental Science
  • Epidemiology
  • Public Health

Background:

  • Dengue fever presents a growing global health challenge with increasing infection rates.
  • Understanding the spatial and temporal dynamics of dengue outbreaks is crucial for effective control.

Purpose of the Study:

  • To analyze spatiotemporal dengue outbreaks in the Klang Valley, Malaysia, using geospatial techniques.
  • To investigate the influence of meteorological factors on dengue outbreak patterns in Kuala Lumpur.

Main Methods:

  • Geospatial analysis of daily dengue case data from 2001-2011.
  • Correlation analysis (Spearman's) between daily weather variables (rainfall, temperature, wind speed) and dengue cases.

Main Results:

  • Dengue outbreaks were consistently observed throughout the 11-year study period in the Klang Valley.
  • The most intense outbreaks were frequently identified in high-rise apartment buildings in Kuala Lumpur City Centre.
  • Significant negative correlations were found between maximum and minimum temperatures and dengue outbreaks.

Conclusions:

  • Geospatial analysis effectively identified dengue outbreak patterns in Kuala Lumpur.
  • Temperature, specifically maximum and minimum, shows a significant inverse relationship with dengue outbreaks.
  • Findings highlight the importance of considering weather patterns and urban structures in dengue prevention efforts.