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A knowledge representation of local pandemic influenza planning models
Runa Islam1, Margaret L Brandeau, Amar K Das
1Stanford Medical Informatics, MSOB X233, Stanford, CA 94305, USA.
Abstract:
Planning for pandemic flu outbreak at the small-government level can be aided through the use of mathematical policy models. Formulating and analyzing policy models, however, can be a time- and expertise-expensive process. We believe that a knowledge-based system for facilitating the instantiation of locale- and problem-specific policy models can reduce some of these costs. In this work, we present the ontology we have developed for pandemic influenza policy models.
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