GIS for public health management Methodology The project has been organised on ArcView GIS 3.1 and MS Access Software. The Data were collected from the Department of Public Health. The user is provided with menu to see the organised informations and an interactive query shell is provided to the user, to query the system for making better decisions. The strong point of the system is to view the spatial display of tabular data which depicts the ground reality. The System can be strengthened if the database is periodically updated and maintained effectively. The schematic diagram Fig 1.1 shows the various aspects that are characterised in the GIS model developed.  User Interface and query shell Shared, complete and accurate data are essential in building information systems. It is recognized as one of the most difficult tasks in organizing the database for efficient system development. The user interacts with the main menu fig 2.1. to view the organised informations. Provisions have been made for the user to issue his queries based on his criterion. The GUI of the system proves to be a friendly interface for spatial and aspatial information retrieval, which supports users with minimal computer knowledge for access of spatial information. The systems’ ability to display tabular data spatially on the theme, is of prime importance to planners in making structured decisions based on the geography of the area. Identification of villages lacking health amenities can be easily done with the support of the queryshell Fig 6.2. Charting feature is also provided in the system to view the results graphically. Sample outputs of the study There are about 110 diseases / symptoms/ deficiencies in the database The user can select any diseases / symptoms/ deficiencies from the database and can view which block has more density. In Fig 3.1 conjunctivitis is chosen, Konganapuram block is the dominant block out of the four blocks. Likewise using the overlay concept of GIS, Infant Mortality Rates are Overlayed with Female Literacy rates as shown in Fig 4.1. Using the charting features, charts have been prepared for IMR time series data of Konganapuram block and Comparison of IMR of Konganapuram Block with Salem District, Tamil Nadu, Neighbouring States and India has been shown in Fig 5.1 & 5.2. respectively. Dominant diseases / symptoms / deficiency can also be seen for each block . Vital Rates are computed per 1000, the figure below indicates that, Konganapuram Block is dominant in Infant Mortality rate and Female Literacy level is low.  Conclusion The need for cost effective PC - based GIS solution for developmental activities in Health Sector Management is met by the system.. The GUI of the system proves to be a friendly interface for spatial and aspatial information retrieval, which supports users with minimal computer knowledge for access of spatial information Apart from querying information on spatial and aspatial data, print output of the maps at user defined scales and extent, making an integrated analysis on spatial and aspatial data, performing query on multiple themes simultaneously are some of the features of the Health GIS model.
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