Dengue is one of the most important vector-borne infection in Sri Lanka and vector controlling is the best approach to control transmission of the disease. Development of Geographic Information System (GIS)-based multivariate analysis model to detect risk hotspots of dengue in the District of Gampaha was carried out. A risk model and spatial Poisson point process model were developed for four high risk areas. Results showed high risk localities are in close proximity to roads and coincide with vegetation coverage while the Poisson model highlighted the proximity of high intensity localities to public places and possibility of artificial reservoirs of dengue. Clustering of dengue cases in a radius of approximately 150 m in high risk areas need intensive attention in future vector surveillances.

The figure shows that Predicted point pattern intensity for dengue incidences in the study areas. High risk localities were illustrated in the yellow colour while the low risk localities were illustrated in the blue. Variation of intensity levels are scaled adjacently to the intensity map of the study areas. (A) Eriyawetiya; (B) Akbar Town; (C) 3rd Kurana; (D) Welikadamulla.

G. P. Withanage, M. Gunawardana, S. D. Viswakula, K. Samaraweera, N. S. Gunawardena and M. D. Hapugoda

Scientific Reports

Abstract :- https://doi.org/10.1038/s41598-021-83204-1