The Kernel density estimation interpolation was used to predict the hot spot locality (Jeefoo et al., 2011). Kernel density estimation is one of the method that applied to identify high risk areas within point patterns of disease incidence and also can defines the level of the high risk of that area (Bithell, 1990). Kernel density estimation is an interpolation that compatible for single point locality. The Kernel density estimation is the better hot spot identifier than cluster analysis. It can measures the density of point feature in each of the output raster cell .This method has been applied in previous study on spatial mapping on dengue disease to locate "hot spot" for dengue cases in the district of Hulu Langat (Er et al., 2010). Jeefoo et al, (2011) has used the kernel density to locate the spatio-temporal diffusion of dengue pattern and prove that the hot spot area have an influence on the spread of an infectious disease.
Mosquito’s live there life sucking blood and laying eggs. They lay their eggs in clean water, so that they can produce in a sanitary environment. Once the larva hatch, the mosquito goes through many phases until becoming a full mosquito. The mosquito begins to search for his meal and sucks the blood of a human. From the mosquito’s abdomen releases a toxic fluid which is inserted into the human. This fluid is the beginning of Dengue fever. The warning signs are quite clear, due to the person who was affected by Dengue. High fever, retro orbital pain, fatigue, rash, and vomiting are all minor signs of Dengue. Need essay sample on "Dengue Fever" ? We will write a custom essay sample specifically for you for only $/page