Geo-Spatial Disease Clustering for Public Health Decision Making

An explosion of interest has been observed in disease mapping with the developments advanced spatial statistics and increasing availability computerized geographic information system (GIS) technology. This technique is known as “Disease Clustering” using this for future prediction termed “Geo-Spatial Disease Clustering”. Government, Medical Institutes, other medical practices gather large amounts data from surveys sources. form hard copies, databases, spread sheets text files. Mostly feedback different classes like age group, gender, provider (doctors), region, etc. During research used experiments testing. Variety techniques algorithms have proposed literature mapping. The effectiveness these may vary varying types, volume, structure interest. In research, investigation visualization proposed. includes cleansing, fusion, dimensioning, analysis, visualization, prediction. Motivation behind to create awareness about guidance patient healthcare providers government bodies. By this, we can extract that describes association respect age, location. Moreover, temporal analysis helps earlier identification disease, be care necessary avoiding arrangements taken.