Mathematical tools for understanding infectious diseases dynamics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton
Princeton University Press
c2013
|
| Schriftenreihe: | Princeton series in theoretical and computational biology
|
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references (p. [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 "-- |
| Beschreibung: | 1 Online-Ressource (xiv, 502 p.) |
| ISBN: | 0691155399 1400845629 9780691155395 9781400845620 |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Diekmann, O. |
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| dewey-full | 614.4 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 614 - Forensic medicine; incidence of disease |
| dewey-raw | 614.4 |
| dewey-search | 614.4 |
| dewey-sort | 3614.4 |
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| discipline | Medizin |
| format | Electronic eBook |
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| id | DE-604.BV043069388 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:30Z |
| institution | BVB |
| isbn | 0691155399 1400845629 9780691155395 9781400845620 |
| language | English |
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| spelling | Diekmann, O. Verfasser aut 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 c2013 1 Online-Ressource (xiv, 502 p.) txt rdacontent c rdamedia cr rdacarrier Princeton series in theoretical and computational biology Includes bibliographical references (p. [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 "-- SCIENCE / Life Sciences / Biology / General bisacsh MATHEMATICS / Applied bisacsh MEDICAL / Infectious Diseases bisacsh MEDICAL / Epidemiology bisacsh MEDICAL / Health Risk Assessment bisacsh Epidemiology / Mathematical models local Communicable diseases / Mathematical models local Communicable diseases / Mathematical models fast Epidemiology / Mathematical models fast Mathematisches Modell Medizin Epidemiology Mathematical models Congresses Epidemiology Mathematical models Communicable diseases Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Infektionskrankheit (DE-588)4026879-2 gnd rswk-swf Epidemiologie (DE-588)4015016-1 gnd rswk-swf (DE-588)1071861417 Konferenzschrift gnd-content Mathematisches Modell (DE-588)4114528-8 s Epidemiologie (DE-588)4015016-1 s Infektionskrankheit (DE-588)4026879-2 s DE-604 Heesterbeek, Hans Sonstige oth Britton, Tom Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=482163 Aggregator Volltext |
| spellingShingle | Diekmann, O. Mathematical tools for understanding infectious diseases dynamics SCIENCE / Life Sciences / Biology / General bisacsh MATHEMATICS / Applied bisacsh MEDICAL / Infectious Diseases bisacsh MEDICAL / Epidemiology bisacsh MEDICAL / Health Risk Assessment bisacsh Epidemiology / Mathematical models local Communicable diseases / Mathematical models local Communicable diseases / Mathematical models fast Epidemiology / Mathematical models fast Mathematisches Modell Medizin Epidemiology Mathematical models Congresses Epidemiology Mathematical models Communicable diseases Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Infektionskrankheit (DE-588)4026879-2 gnd Epidemiologie (DE-588)4015016-1 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4026879-2 (DE-588)4015016-1 (DE-588)1071861417 |
| title | Mathematical tools for understanding infectious diseases dynamics |
| title_alt | Mathematical tools for understanding infectious disease dynamics |
| 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 | SCIENCE / Life Sciences / Biology / General bisacsh MATHEMATICS / Applied bisacsh MEDICAL / Infectious Diseases bisacsh MEDICAL / Epidemiology bisacsh MEDICAL / Health Risk Assessment bisacsh Epidemiology / Mathematical models local Communicable diseases / Mathematical models local Communicable diseases / Mathematical models fast Epidemiology / Mathematical models fast Mathematisches Modell Medizin Epidemiology Mathematical models Congresses Epidemiology Mathematical models Communicable diseases Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Infektionskrankheit (DE-588)4026879-2 gnd Epidemiologie (DE-588)4015016-1 gnd |
| topic_facet | SCIENCE / Life Sciences / Biology / General MATHEMATICS / Applied MEDICAL / Infectious Diseases MEDICAL / Epidemiology MEDICAL / Health Risk Assessment Epidemiology / Mathematical models Communicable diseases / Mathematical models Mathematisches Modell Medizin Epidemiology Mathematical models Congresses Epidemiology Mathematical models Communicable diseases Mathematical models Infektionskrankheit Epidemiologie Konferenzschrift |
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