Comprehensive Dengue Spatial Analysis

Project Overview

This project presents a comprehensive spatial and statistical analysis of dengue distribution in Colombo City, Sri Lanka. By integrating multiple GIS and spatial statistics techniques, the study examines spatial patterns, clustering behavior, and directional trends of dengue cases to support evidence-based public health decision-making.

Study Area

The study area covers Colombo City, the commercial capital of Sri Lanka. Rapid urbanization, high population density, and mixed land use patterns contribute to favorable conditions for dengue transmission, making the city a critical area for spatial epidemiological analysis.

Data Sources

Secondary dengue patient location data
Mosquito breeding site data
Colombo city administrative boundary data
Land use and base map layers

Methodology

Mean center and median center analysis
Standard distance and standard deviational ellipse
Kernel density and point density mapping
Nearest neighbor analysis
Multi-distance spatial cluster (K-function) analysis

Spatial Analysis Maps

Spatial Centrality and Dispersion of Dengue Cases (Mean Center, Median Center, and Standard Distance Ellipse)

Point Density Map of Dengue Breeding Sites

Kernel Density Map of Dengue Distribution

Nearest Neighbour Analysis Graph for Dengue Case Distribution

The maps collectively illustrate the spatial distribution, clustering, dispersion, and directional trends of dengue prevalence and breeding sites across Colombo City. Density and clustering analyses reveal statistically significant hotspots requiring targeted public health interventions.

Key Findings

Dengue cases show significant spatial clustering within Colombo City
Kernel density maps identify high-risk dengue hotspot zones
Nearest neighbor analysis confirms non-random clustered patterns
Directional ellipses reveal dominant trends in disease spread
Land use patterns influence dengue distribution and intensity

Tools & Skills

ArcGIS Desktop 10.8
Spatial Statistics & Spatial Analyst tools
Disease mapping and hotspot analysis
Cartographic visualization and map layout design

Conclusion

This project strengthened practical skills in spatial epidemiology, GIS-based statistical analysis, and thematic cartography. The integrated approach provides valuable insights into dengue distribution patterns and supports informed decision-making for urban public health planning.

Dengue Spatial & Statistical Analysis