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Author Diekmann, O., author.

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

Imprint Princeton : Princeton University Press, 2013.

Copies

Location Call No. OPAC Message Status
 Axe EBSCO Clinical Nursing E-Book  Electronic Book    ---  Available
Description 1 online resource (xiv, 502 pages) : illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Princeton series in theoretical and computational biology
Princeton series in theoretical and computational biology.
Bibliography Includes bibliographical references (pages 491-496) and index.
Summary "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 "-- Provided by publisher.
Note Print version record.
Subject Epidemiology -- Mathematical models -- Congresses.
Epidemiology -- Mathematical models.
Communicable diseases -- Mathematical models.
SCIENCE -- Life Sciences -- Biology -- General.
MATHEMATICS -- Applied.
MEDICAL -- Infectious Diseases.
MEDICAL -- Epidemiology.
MEDICAL -- Health Risk Assessment.
Communicable diseases -- Mathematical models. (OCoLC)fst00869903
Epidemiology -- Mathematical models. (OCoLC)fst00914096
Epidemiology.
Models, Theoretical.
Communicable Diseases.
Genre/Form Electronic books.
Conference papers and proceedings. (OCoLC)fst01423772
Added Author Heesterbeek, Hans, 1960- editor.
Britton, Tom, editor.
Added Title Mathematical tools for understanding infectious disease dynamics
Other Form: Print version: Diekmann, O. Mathematical tools for understanding infectious diseases dynamics. Princeton : Princeton University Press, 2013 9780691155395 (DLC) 2012012058 (OCoLC)788265597
ISBN 9781400845620 (electronic bk.)
1400845629 (electronic bk.)
1283578751
9781283578752
9780691155395
0691155399
Standard No. AU@ 000050492660
AU@ 000052972658
AU@ 000058369132
AU@ 000060505364
CHBIS 011058624
CHVBK 498859983
DEBBG BV041120947
DEBBG BV042693379
DEBBG BV043069388
DEBBG BV044167982
DEBSZ 382944232
DEBSZ 396758584
DEBSZ 424605619
DEBSZ 447045369
GBVCP 1003713874
NZ1 15905111

 
    
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