| Contents Notes |
Introduction to simple epidemic models -- Host heterogeneities -- Multi-pathogen / multi-host models -- Temporally forced models -- Stochastics dynamics -- Spatial models -- Controlling infectious diseases. "For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. This book provides a timely and comprehensive introduction to the modeling of infectious diseases in humans and animals, focusing on recent developments as well as more traditional approaches." "Matt Keeling and Pejman Rohani move from modeling with simple differential equations to more recent, complex models, where spacial structure, seasonal "forcing," or stochasticity influence the dynamics, and where computer simulation needs to be used to generate theory. In each of the eight chapters, they deal with a specific modeling approach or set of techniques designed to capture a particular biological factor. The illustrate the methodology used with examples from recent research literature on human and infectious disease modeling, showing how such techniques can be used in practice. Diseases considered include BSE, foot-and-mouth, HIV, measles, rubella, smallpox, and West Nile virus, among others. Particular attention is given throughout the book to the development of practical models, useful both as predictive tools and as a means to understand fundamental epidemiological processes. To emphasize this approach, the last chapter is dedicated to modeling and understanding the control of diseases throughout vaccination, quarantine, or calling."--Jacket. |
