Mathematical tools for understanding infectious diseases dynamics

Mathematical tools for understanding infectious diseases dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton.

"Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment o...

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Bibliographic Details
Main Author: Diekmann, O. (Author)
Other Authors: Heesterbeek, Hans, 1960- (Editor), Britton, Tom (Editor)
Format: eBook
Language:English
Published: Princeton : Princeton University Press, ©2013.
Series:Princeton series in theoretical and computational biology.
Subjects:
Epidemiology > Mathematical models > Congresses.
Epidemiology > Mathematical models.
Communicable diseases > Mathematical models.
Epidemiology.
Mathematical models.
Communicable diseases.
mathematical models.
SCIENCE > Life Sciences > Biology > General.
MATHEMATICS > Applied.
MEDICAL > Infectious Diseases.
MEDICAL > Epidemiology.
MEDICAL > Health Risk Assessment.
Mathematical models
Epidemiology
Communicable diseases
Communicable diseases > Mathematical models
Epidemiology > Mathematical models
Electronic books.
Conference papers and proceedings
Online Access:Click for online access
Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Part I. The bare bones: Basic issues in the simplest context
  • Part II. Structured populations
  • Part III. Case studies on inference
  • Part IV. Elaborations
  • Bibliography
  • Index

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