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Mathematical tools for understanding infectious disease dynamics Odo Diekmann, Hans Heesterbeek, and Tom Britton

Von:

Diekmann, Odo, 1948- [VerfasserIn]

Mitwirkende(r):

Materialtyp: Text

TextSprache: Englisch Reihen: Princeton series in theoretical and computational biologyVerlag: Princeton Oxford Princeton University Press [2013]Copyright-Datum: © 2013Beschreibung: xiv, 502 Seiten Diagramme 26 cmInhaltstyp:

Text

Medientyp:

ohne Hilfsmittel zu benutzen

Datenträgertyp:

Band

ISBN:

0691155399
9780691155395

Schlagwörter:

Andere physische Formen: Online-Ausg.: Mathematical tools for understanding infectious disease dynamicsLOC-Klassifikation:

RA652.2.M3

Andere Klassifikation:

SK 950
XF 4300
QH 252
*92-02
92D30
92B05
92B05
42.11

Online-Ressourcen:

Zusammenfassung: "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 "--Andere Ausgaben: Online-Ausg.: / Diekmann, Odo, 1948 - : Mathematical tools for understanding infectious disease dynamics

Exemplare ( 1 )
Titelinformationen ( 3 )

Exemplare
Medientyp	Aktuelle Bibliothek	Sammlung	Standort	Signatur	Status	Fälligkeitsdatum	Barcode
Buch	Gebäude E2 3 (UdS Campusbibliothek für Informatik und Mathematik)	Campusbibliothek für Informatik und Mathematik (E2 3)	Books A-Z (1st)	DIE o2 2013:1 1.Ex (Regal durchstöbern(Öffnet sich unterhalb))	Verfügbar		2000000359298

Literaturverzeichnis: Seite 491-496

"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 "--

Diekmann, Odo, 1948 - : Mathematical tools for understanding infectious disease dynamics