Arboviral Encephalitis Analysis & Prediction Tool

To create a software product that seamlessly integrates a Geographical Information System (GIS)with a document imaging system, allowing public health officials and researchers to study the incidenceof arboviral encephalitis and distribution of mosquito vector species. Imaging combined with a GIS willallow case reports, vector distribution, and risk factors to be organized and retrieved based ongeographic as well as traditional indexing criteria. An integrated database will be generated which willcontain geographic, environmental, biological, demographic, and epidemiological data sets allowingresearchers to use multi-layered maps to determine spatial patterns. Trend-line and other spatial analysismethods will assist in identification and representation of possible predictive patterns. Derived data setsas well as rendered map images can be saved and re-used. Presentation-quality output will be availablethroughout. This user-friendly tool will give CDC personnel, officials of state health departments andresearchers access to data included in scanned case reports in association with all other entomological,epidemiological, and environmental information. The proposed system will assist CDC and other healthofficials in developing a proactive surveillance system and in the planning and implementation of controland prevention measures.