Dynamic Modeling of Diseases and Pests, 2009
Auteurs : Hannon Bruce, Ruth Matthias
The ease of use of the programs in the application to ever more complex cases of disease and pestilence. The lack of need on the part of the student or modelers of mathematics beyond algebra and the lack of need of any prior computer programming experience. The surprising insights that can be gained from initially simple systems models.
Bruce Hannon is Jubilee professor of the College of Liberal Arts and Sciences and is associated with the departments of Geography, Ecology and Evolutionary Biology, Epidemiology and Preventive Medicine and Bioengineering and the National Center for Super Computing Applications and the Illinois Natural History Survey.
Matthias Ruth is Roy F. Weston Chair in Natural Economics, founding Director of the Center for Integrative Environmental Research at the Division of Research, Director of the Environmental Policy Program at the School of Public Policy, and founding Co-Director of the Engineering and Public Policy Program at the University of Maryland.
Introduces students to hands-on dynamic modeling in the context of disease, and challenges them to use their models and insights to explore interventions that may help restrain contagion
The structure is based on the assumption that modeling is best learned by doing and by then critically evaluating the structure, performance and outcome of the model
Contains generic models of epidemics and chapters on individual diseases, as well as other forms of “pests” for which humanity has devised intervention and control mechanisms, based on the use of STELLA software
Begins with simple models, focusing on the motivation and act of modeling as much as on the specific features of what is modeled, and gradually proceeds to the development of fairly complicated models
Date de parution : 12-2014
Ouvrage de 290 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
Ajouter au panierDate de parution : 08-2008
Thèmes de Dynamic Modeling of Diseases and Pests :
Mots-clés :
Mathematica; RSI; chaos; epidemics; modeling; nonlinear dynamics; infectious diseases