This project will document the processes of developing a prototype disease surveillance system that utilizes multiple grid services. It will characterize the benefits and disadvantages of providing users with multiple choices of similar services by using two different natural language processing services. It will then compare how incorporating those services differs from incorporating temporal detection algorithm services.
The project will show both the benefits the public health grid can provide to both client developers and their users as well an estimate of the costs of working in this new environment. The prototype disease surveillance system will be demonstrated to show how grid services could be utilized. The project will also provide recommendations to public health grid service developers that can lower the cost to client developers who will eventually utilize these services.
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