Mathematical tools for understanding infectious diseases dynamics /

Mostrar otras versiones (2)

"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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Diekmann, O. (Autor)
Otros Autores: Heesterbeek, Hans, 1960- (Editor ), Britton, Tom (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, ©2013.
Colección:Princeton series in theoretical and computational biology.
Temas:
Epidemiology > Mathematical models > Congresses.
Epidemiology > Mathematical models.
Communicable diseases > Mathematical models.
Epidemiology.
Mathematical models.
Communicable diseases.
Epidemiology
Models, Theoretical
Communicable Diseases
Épidémiologie > Modèles mathématiques > Congrès.
Épidémiologie > Modèles mathématiques.
Maladies infectieuses > Modèles mathématiques.
Épidémiologie.
Modèles mathématiques.
Maladies infectieuses.
mathematical models.
SCIENCE > Life Sciences > Biology > General.
MATHEMATICS > Applied.
MEDICAL > Infectious Diseases.
MEDICAL > Epidemiology.
MEDICAL > Health Risk Assessment.
Mathematical models
Communicable diseases
Communicable diseases > Mathematical models
Epidemiology > Mathematical models
Electronic books.
Conference papers and proceedings
Acceso en línea:Texto completo
Descripción
Sumario:"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 "--
Descripción Física:1 online resource (xiv, 502 pages) : illustrations
Bibliografía:Includes bibliographical references (pages 491-496) and index.
ISBN:9781400845620
1400845629
1283578751
9781283578752

Ejemplares similares