A FREE GIS-enabled, Integrated Epimap-based Health Disparities Surveillance Program

To date many public health software programs for spatial analysis have been made available to address public surveillance founctions for public health workforce. However, there is a lack of integration of computer application that support both spatial data analysis and visualization of data. In addition, broader integration of spatial and attribute Data to improve public health surveillance could be strengthened. The researcher of PHISTA Lab of the University of Texas School of Health Information Sciences at Houston developed an add-on program to the EpiMap program as a cluster detection program to monitor the spatial and temporal aberration of health outcomes for the EpiInfo package. This program combines the free software (free of costs) GIS component of EpiMap (an add-on mapping component of the EpiInfo program) and SatScan, a widely-used cluster detection tool. This program seeks to integrate two health data management applications and data structures to standardize data analysis and output for health surveillance purposes, thus offering the potential for improving current/existing data collection/reporting. In this presentation we used two public health dataset (including cancer and HIV/AIDS) to demonstrate how such an integrated system could be employed to explore potential health disparities by either geographic regions or temporal variation. Data source could come from either federal, state or county sources, with the latter is often the lowest level of jurisdiction that routinely collects and/or reports infectious/chronic disease data. The developed system could be helpful for many federal, state and local public health workers. Such a system may help identify either community vulnerable populations (e.g., disabled citizens, children and seniors, etc), hazards, assets (such as physicians or healthcare facilities), or transportation routes. Further training and familiarity of such system could prepare local health department staff and researchers to become ready for health surveillance and emergency responses.