Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models.
Author Biography
Odo Diekmann is professor of mathematical analysis at Utrecht University. Hans Heesterbeek is professor of theoretical epidemiology at Utrecht University. Tom Britton is professor of mathematical statistics at Stockholm University.
Reviews
"A much needed book. Mathematical Tools for Understanding Infectious Disease Dynamics is a welcome addition to the current literature and will hopefully help to unify the many different views in the field."--Laura Matrajt, SIAM Review "The overtly pedagogical features of this text make it an outstanding choice for someone trying to learn the basic tools of the trade. The mathematician who makes a serious study of this text will be in an excellent position to work fruitfully with biologists or epidemiologists on either theoretical or data-driven problems of disease transmission."--Carl A. Toews, Mathematical Reviews "This book will soon be a classic in the theoretical epidemiology and modeling literature."--Mirjam Kretzschmar, Biometrical Journal
