Description |
1 online resource (xiv, 502 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
Series |
Princeton series in theoretical and computational biology |
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Princeton series in theoretical and computational biology.
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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. |
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 |
Subject |
Epidemiology -- Mathematical models -- Congresses.
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Epidemiology -- Mathematical models.
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Communicable diseases -- Mathematical models.
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Epidemiology.
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Mathematical models.
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Communicable diseases.
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Epidemiology |
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Models, Theoretical |
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Communicable Diseases |
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Épidémiologie -- Modèles mathématiques -- Congrès.
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Épidémiologie -- Modèles mathématiques.
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Maladies infectieuses -- Modèles mathématiques.
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Épidémiologie.
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Modèles mathématiques.
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Maladies infectieuses.
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mathematical models.
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SCIENCE -- Life Sciences -- Biology -- General.
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MATHEMATICS -- Applied.
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MEDICAL -- Infectious Diseases.
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MEDICAL -- Epidemiology.
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MEDICAL -- Health Risk Assessment.
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Mathematical models
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Epidemiology
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Communicable diseases
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Communicable diseases -- Mathematical models
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Epidemiology -- Mathematical models
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Genre/Form |
Electronic books.
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Conference papers and proceedings
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Added Author |
Heesterbeek, Hans, 1960- editor.
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Britton, Tom, editor.
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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.) |
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1400845629 (electronic bk.) |
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1283578751 |
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9781283578752 |
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9780691155395 |
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0691155399 |
Standard No. |
AU@ 000050492660 |
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AU@ 000052972658 |
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AU@ 000058369132 |
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AU@ 000060505364 |
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CHBIS 011058624 |
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CHVBK 498859983 |
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DEBBG BV041120947 |
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DEBBG BV042693379 |
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DEBBG BV043069388 |
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DEBBG BV044167982 |
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DEBSZ 382944232 |
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DEBSZ 396758584 |
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DEBSZ 424605619 |
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DEBSZ 447045369 |
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GBVCP 1003713874 |
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NZ1 15905111 |
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AU@ 000060015150 |
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