title: A knowledge representation of local pandemic influenza planning models.
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.
authors.affiliation: Stanford Medical Informatics, MSOB X233, Stanford, CA 94305, USA.
authors.forename: Runa
authors.initials: R
authors.lastname: Islam
authors.forename: Margaret L
authors.initials: ML
authors.lastname: Brandeau
authors.forename: Amar K
authors.initials: AK
authors.lastname: Das
mesh_terms: D004196:Disease Outbreaks / Q000517:prevention & control*; D006285:Health Planning; D006291:Health Policy; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology / Q000517:prevention & control; D051188:Knowledge Bases; D010934:Planning Techniques; D018875:Vocabulary, Controlled