TY  - BOOK
AU  - Diekmann,O.
AU  - Heesterbeek,Hans
AU  - Britton,Tom
TI  - Mathematical tools for understanding infectious diseases dynamics
T2  - Princeton series in theoretical and computational biology
SN  - 9781400845620
AV  - RA652.2.M3 D54 2013eb
U1  - 614.4 23
PY  - 2013///
CY  - Princeton
PB  - Princeton University Press
KW  - Epidemiology
KW  - Mathematical models
KW  - Congresses
KW  - Communicable diseases
KW  - Models, Theoretical
KW  - Communicable Diseases
KW  - Épidémiologie
KW  - Modèles mathématiques
KW  - Congrès
KW  - Maladies infectieuses
KW  - mathematical models
KW  - aat
KW  - SCIENCE
KW  - Life Sciences
KW  - Biology
KW  - General
KW  - bisacsh
KW  - MATHEMATICS
KW  - Applied
KW  - MEDICAL
KW  - Infectious Diseases
KW  - Health Risk Assessment
KW  - fast
KW  - Electronic books
KW  - Conference papers and proceedings
N1  - Includes bibliographical references (pages 491-496) and index; 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
N2  - "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 of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully 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. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout "--
UR  - https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=482163
ER  -