Abstract
There are several barriers prohibiting the sharing of public health applications, primarily driven by complexity and cost. This poster describes an approach which leverages grid technology for the epidemiological analyses of public health data. Through a virtual environment, users, particularly those unfamiliar with the application [R], can easily perform on-demand statistical analyses. As a proof of concept, an example of mortality-based analysis taken from the literature was reproduced using the grid version of R. Developing prototypes can provide insight on how a public health grid infrastructure could be developed as a dynamically evolving ecosystem of grid enabled applications.