Public health management needs information on various aspects like the prevalence of diseases, facilities that are available in order to take decisions on either creating infrastructure facilities or for taking immediate action to handle the situation and so on. These decisions need to be taken based on the observations made and available data.

As the data relates to Public health covering the whole state and the entire population the data is voluminous, and hence it is extremely difficult to understand the real content. The data needs to be presented in a way that the temporal and spatial nature of the problem can be brought out in a focused way

Spatial variations in health related data is well known, and its study is a fundamental aspect of epidemiology. Most epidemiological data have a location and time reference. Advanced spatial analysis includes the combination of different data layers. Health authorities, for example, may be interested in the estimates of the number of children in a certain age group that may be exposed to malaria.

Climatic and topographic data can be used to determine the range of malaria mosquitoes. This range is unlikely to follow the Panchayats
union boundaries, but in GIS the two data layers can still be combined to derive the number of children living within the affected areas in a particular Panchayats union. 

In short, the availability of statistical and other information in spatially referenced form and the functions provided by a GIS could allow analyses that were previously too expensive or impossible to perform. Geographic Information System (GIS) is an innovative technology, ideal for generating data suitable for analysis both with respect to space and time.