Mathematical tools for understanding infectious diseases dynamics /:
"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...
Gespeichert in:
| 1. Verfasser: | |
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| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton :
Princeton University Press,
©2013.
|
| Schriftenreihe: | Princeton series in theoretical and computational biology.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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 "-- |
| Beschreibung: | 1 online resource (xiv, 502 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 491-496) and index. |
| ISBN: | 9781400845620 1400845629 1283578751 9781283578752 |
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| 246 | 3 | |a Mathematical tools for understanding infectious disease dynamics | |
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| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t Part I. The bare bones: Basic issues in the simplest context -- |t Part II. Structured populations -- |t Part III. Case studies on inference -- |t Part IV. Elaborations -- |t Bibliography -- |t Index |
| 650 | 0 | |a Epidemiology |x Mathematical models |v Congresses. | |
| 650 | 0 | |a Epidemiology |x Mathematical models. | |
| 650 | 0 | |a Communicable diseases |x Mathematical models. | |
| 650 | 0 | |a Epidemiology. |0 http://id.loc.gov/authorities/subjects/sh85044373 | |
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| 650 | 6 | |a Épidémiologie |x Modèles mathématiques. | |
| 650 | 6 | |a Maladies infectieuses |x Modèles mathématiques. | |
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| 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 |
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| genre | Electronic books. Conference papers and proceedings fast |
| genre_facet | Electronic books. Conference papers and proceedings |
| id | ZDB-4-EBA-ocn812289802 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:24:59Z |
| institution | BVB |
| isbn | 9781400845620 1400845629 1283578751 9781283578752 |
| language | English |
| oclc_num | 812289802 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 502 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Princeton University Press, |
| record_format | marc |
| series | Princeton series in theoretical and computational biology. |
| series2 | Princeton series in theoretical and computational biology |
| spelling | Diekmann, O., author. http://id.loc.gov/authorities/names/n86090420 Mathematical tools for understanding infectious diseases dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton. Mathematical tools for understanding infectious disease dynamics Princeton : Princeton University Press, ©2013. 1 online resource (xiv, 502 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Princeton series in theoretical and computational biology Includes bibliographical references (pages 491-496) and index. "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. Print version record. 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 Epidemiology Mathematical models Congresses. Epidemiology Mathematical models. Communicable diseases Mathematical models. Epidemiology. http://id.loc.gov/authorities/subjects/sh85044373 Mathematical models. http://id.loc.gov/authorities/subjects/sh85082124 Communicable diseases. http://id.loc.gov/authorities/subjects/sh85029015 Epidemiology Models, Theoretical Communicable Diseases Épidémiologie Modèles mathématiques Congrès. Épidémiologie Modèles mathématiques. Maladies infectieuses Modèles mathématiques. Épidémiologie. Modèles mathématiques. Maladies infectieuses. mathematical models. aat SCIENCE Life Sciences Biology General. bisacsh MATHEMATICS Applied. bisacsh MEDICAL Infectious Diseases. bisacsh MEDICAL Epidemiology. bisacsh MEDICAL Health Risk Assessment. bisacsh Mathematical models fast Epidemiology fast Communicable diseases fast Communicable diseases Mathematical models fast Epidemiology Mathematical models fast Electronic books. Conference papers and proceedings fast Heesterbeek, Hans, 1960- editor. https://id.oclc.org/worldcat/entity/E39PCjtDCpV3PXGGv4FK9gcMfq http://id.loc.gov/authorities/names/n2012029176 Britton, Tom, editor. http://id.loc.gov/authorities/names/n98095581 has work: Mathematical tools for understanding infectious diseases dynamics (Text) https://id.oclc.org/worldcat/entity/E39PCFBQ9mxYtrVkqmjY9YBkjC https://id.oclc.org/worldcat/ontology/hasWork Print version: Diekmann, O. Mathematical tools for understanding infectious diseases dynamics. Princeton : Princeton University Press, ©2013 9780691155395 (DLC) 2012012058 (OCoLC)788265597 Princeton series in theoretical and computational biology. http://id.loc.gov/authorities/names/n2002158209 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=482163 Volltext |
| spellingShingle | Diekmann, O. Mathematical tools for understanding infectious diseases dynamics / Princeton series in theoretical and computational biology. 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 Epidemiology Mathematical models Congresses. Epidemiology Mathematical models. Communicable diseases Mathematical models. Epidemiology. http://id.loc.gov/authorities/subjects/sh85044373 Mathematical models. http://id.loc.gov/authorities/subjects/sh85082124 Communicable diseases. http://id.loc.gov/authorities/subjects/sh85029015 Epidemiology Models, Theoretical Communicable Diseases Épidémiologie Modèles mathématiques Congrès. Épidémiologie Modèles mathématiques. Maladies infectieuses Modèles mathématiques. Épidémiologie. Modèles mathématiques. Maladies infectieuses. mathematical models. aat SCIENCE Life Sciences Biology General. bisacsh MATHEMATICS Applied. bisacsh MEDICAL Infectious Diseases. bisacsh MEDICAL Epidemiology. bisacsh MEDICAL Health Risk Assessment. bisacsh Mathematical models fast Epidemiology fast Communicable diseases fast Communicable diseases Mathematical models fast Epidemiology Mathematical models fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85044373 http://id.loc.gov/authorities/subjects/sh85082124 http://id.loc.gov/authorities/subjects/sh85029015 |
| title | Mathematical tools for understanding infectious diseases dynamics / |
| title_alt | Mathematical tools for understanding infectious disease dynamics 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 |
| title_auth | Mathematical tools for understanding infectious diseases dynamics / |
| title_exact_search | Mathematical tools for understanding infectious diseases dynamics / |
| title_full | Mathematical tools for understanding infectious diseases dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton. |
| title_fullStr | Mathematical tools for understanding infectious diseases dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton. |
| title_full_unstemmed | Mathematical tools for understanding infectious diseases dynamics / Odo Diekmann, Hans Heesterbeek, and Tom Britton. |
| title_short | Mathematical tools for understanding infectious diseases dynamics / |
| title_sort | mathematical tools for understanding infectious diseases dynamics |
| topic | Epidemiology Mathematical models Congresses. Epidemiology Mathematical models. Communicable diseases Mathematical models. Epidemiology. http://id.loc.gov/authorities/subjects/sh85044373 Mathematical models. http://id.loc.gov/authorities/subjects/sh85082124 Communicable diseases. http://id.loc.gov/authorities/subjects/sh85029015 Epidemiology Models, Theoretical Communicable Diseases Épidémiologie Modèles mathématiques Congrès. Épidémiologie Modèles mathématiques. Maladies infectieuses Modèles mathématiques. Épidémiologie. Modèles mathématiques. Maladies infectieuses. mathematical models. aat SCIENCE Life Sciences Biology General. bisacsh MATHEMATICS Applied. bisacsh MEDICAL Infectious Diseases. bisacsh MEDICAL Epidemiology. bisacsh MEDICAL Health Risk Assessment. bisacsh Mathematical models fast Epidemiology fast Communicable diseases fast Communicable diseases Mathematical models fast Epidemiology Mathematical models fast |
| topic_facet | 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 |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=482163 |
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