For epidemiologists, evolutionary biologists, and health-care professionals, real-time and predictive modeling of infectious disease is of growing importance. T

This textbook provides information on simple epidemic models, hosts heterogeneities, temporally forced models, stochastic dynamics, spatial models and controlli

This book deals with infectious diseases -- viral, bacterial, protozoan and helminth -- in terms of the dynamics of their interaction with host populations. The

Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors a

Mathematical models are increasingly used to guide public health policy decisions and explore questions in infectious disease control. Written for readers witho