Disease Evolution: Models, Concepts, and Data Analyses

This work introduces scientists and researchers to current techniques and challenges in mathematical evolutionary epidemiology. It expands on material presented at the November 2003 DIMACS working group on Genetics and Evolution of Pathogens, held at Rutgers University, and includes papers from experts who were unable to attend the meeting. Contributors approaching the study of epidemiology from a variety of applied and theoretical disciplines, including mathematics, computer science, statistics, and biology, outline general concepts underlying models of disease evolution, and look at methodological challenges posed by factors such as drug resistance and host dynamics. They show how methods are used to investigate the evolution of specific diseases, including HIV and malaria. There is no subject index. Annotation ©2006 Book News, Inc., Portland, OR (booknews.com)