DIMACS - Series in Discrete Mathematics and Theoretical Computer Science
Volume: 71; 2006; 237 pp; Hardcover
MSC: Primary 34; 35; 62; 92;
Print ISBN: 978-0-8218-3753-5
Product Code: DIMACS/71
List Price: $97.00
Individual Member Price: $77.60
Disease Evolution: Models, Concepts, and Data AnalysesShare this page
Edited by Zhilan Feng; Ulf Dieckmann; Simon Levin
A co-publication of the AMS and DIMACS
Infectious diseases are continuing to threaten
humankind. While some diseases have been controlled, new diseases are
constantly appearing. Others are now reappearing in forms that are resistant to
drug treatments. A capacity for continual re-adaptation furnishes pathogens
with the power to escape our control efforts through evolution. This makes it
imperative to understand the complex selection pressures that are shaping and
reshaping diseases. Modern models of evolutionary epidemiology provide powerful
tools for creating, expressing, and testing such understanding.
Bringing together international leaders in the field, this volume offers a panoramic tour of topical developments in understanding the mechanisms of disease evolution. The volume's first part elucidates the general concepts underlying models of disease evolution. Methodological challenges addressed include those posed by spatial structure, stochastic dynamics, disease phases and classes, single- and multi-drug resistance, the heterogeneity of host populations and tissues, and the intricate coupling of disease evolution with between-host and within-host dynamics. The book's second part shows how these methods are utilized for investigating the dynamics and evolution of specific diseases, including HIV/AIDS, tuberculosis, SARS, malaria, and human rhinovirus infections.
This volume is particularly suited for introducing young scientists and established researchers with backgrounds in mathematics, computer science, or biology to the current techniques and challenges of mathematical evolutionary epidemiology.
Co-published with the Center for Discrete Mathematics and Theoretical Computer Science beginning with Volume 8. Volumes 1–7 were co-published with the Association for Computer Machinery (ACM).
Table of Contents
Table of Contents
Disease Evolution: Models, Concepts, and Data Analyses
Graduate students and research mathematicians interested in mathematical biology.