Skip to main content
Book cover

Structured Population Models in Biology and Epidemiology

  • Book
  • © 2008

Overview

Part of the book series: Lecture Notes in Mathematics (LNM, volume 1936)

Part of the book sub series: Mathematical Biosciences Subseries (LNMBIOS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (6 chapters)

Keywords

About this book

In this new century mankind faces ever more challenging environmental and publichealthproblems,suchaspollution,invasionbyexoticspecies,theem- gence of new diseases or the emergence of diseases into new regions (West Nile virus,SARS,Anthrax,etc.),andtheresurgenceofexistingdiseases(in?uenza, malaria, TB, HIV/AIDS, etc.). Mathematical models have been successfully used to study many biological, epidemiological and medical problems, and nonlinear and complex dynamics have been observed in all of those contexts. Mathematical studies have helped us not only to better understand these problems but also to ?nd solutions in some cases, such as the prediction and control of SARS outbreaks, understanding HIV infection, and the investi- tion of antibiotic-resistant infections in hospitals. Structuredpopulationmodelsdistinguishindividualsfromoneanother- cording to characteristics such as age, size, location, status, and movement, to determine the birth, growth and death rates, interaction with each other and with environment, infectivity, etc. The goal of structured population models is to understand how these characteristics a?ect the dynamics of these models and thus the outcomes and consequences of the biological and epidemiolo- cal processes. There is a very large and growing body of literature on these topics. This book deals with the recent and important advances in the study of structured population models in biology and epidemiology. There are six chapters in this book, written by leading researchers in these areas.

Editors and Affiliations

  • University of Le Havre, Le Havre, France

    Pierre Magal

  • Department of Mathematics, University of Miami, Coral Gables, USA

    Shigui Ruan

About the editors

Pierre Magal is an Associate Professor of Mathematics at the University of Le Havre, France. He received the Ph.D. degree (1996) in applied mathematics from the University of Pau, France and the HDR (2003) in applied mathematics from the University of Le Havre, France. His research interests include semigroup theory, population dynamics, and mathematical biology.

Shigui Ruan is a Professor of Mathematics at the University of Miami, Coral Gables, USA. He received the Ph.D. degree (1992) in applied mathematics from the University of Alberta, Edmonton, Canada. He was a Junior Fellow at the Fields Institute, Toronto, Canada in1992-1993 and a postdoctoral fellow at McMaster University, Hamilton, Canada in 1993-1994. From 1994 to 2002, he was an Assistant and Associate Professor at Dalhousie University, Halifax, Canada. His research interests are Differential Equations, Dynamical Systems, and Mathematical Biology.

Bibliographic Information

Publish with us