Mathematical Models in Population Biology and Epidemiology (häftad)
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Format
Inbunden (Hardback)
Språk
Engelska
Serie
Texts in Applied Mathematics (del 40)
Antal sidor
508
Utgivningsdatum
2011-09-14
Upplaga
2
Förlag
Springer-Verlag New York Inc.
Dimensioner
234 x 156 x 29 mm
Vikt
917 g
ISBN
9781461416852

Mathematical Models in Population Biology and Epidemiology

av Fred Brauer, Carlos Castillo-Chavez
Inbunden,  Engelska, 2011-09-14
980
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This textbook provides an introduction to the field of mathematical biology through the integration of classical applications in ecology with more recent applications to epidemiology, particularly in the context of spread of infectious diseases. It integrates modeling, mathematics, and applications in a semi-rigorous way, stating theoretical results and giving references but not necessarily giving detailed proofs, providing a solid introduction to the field to undergraduates (junior and senior level), graduate students in applied mathematics, ecology, epidemiology or evolutionary biology, sustainability scientists, and to researchers who must routinely read the practical and theoretical results that come from modeling in ecology and epidemiology. This new edition has been updated throughout. In particular the chapters on epidemiology have been updated and extended considerably, and there is a new chapter on spatially structured populations that incorporates dispersal.The number of problems has been increased and the number of projects has more than doubled, in particular those stressing connections to data. In addition some examples, exercises, and projects include use of Maple and Matlab. Review of first edition: "A strength of the book is the large number of biologically-motivated problem sets. These and the references to the original biological papers would be valuable resources for an instructor." (UK Nonlinear News, 2001)

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Fred Brauer, Carlos Castillo-Chavez

Övrig information

Fred Brauer, Department of Mathematics, University of British Columbia, Canada; Carlos Castillo-Chavez, Mathematical, Computational and Modeling Sciences Center, Arizona State University, USA

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