Mathematical tools for understanding infectious diseases dynamics:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Princeton
Princeton University Press
c2013
|
| Series: | Princeton series in theoretical and computational biology
|
| Subjects: | |
| Online Access: | DE-1043 DE-1046 DE-858 DE-859 DE-860 DE-739 Volltext |
| Item Description: | Includes bibliographical references 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 int Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9781400845620 |
| DOI: | 10.1515/9781400845620 |
Staff View
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Record in the Search Index
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| dewey-full | 614.4 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 614 - Forensic medicine; incidence of disease |
| dewey-raw | SCI008000 614.4 |
| dewey-search | SCI008000 614.4 |
| dewey-sort | 3614.4 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
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| 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 Princeton Princeton University Press c2013 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Princeton series in theoretical and computational biology Includes bibliographical references 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 int Mathematisches Modell Communicable diseases Mathematical models Epidemiology Mathematical models Epidemiology Mathematical models Congresses (DE-588)1071861417 Konferenzschrift gnd-content Britton, Tom Sonstige oth Heesterbeek, Hans Sonstige oth https://doi.org/10.1515/9781400845620 Verlag Volltext |
| spellingShingle | Diekmann, O. Mathematical tools for understanding infectious diseases dynamics Mathematisches Modell Communicable diseases Mathematical models Epidemiology Mathematical models Epidemiology Mathematical models Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Mathematical tools for understanding infectious diseases 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 | Mathematisches Modell Communicable diseases Mathematical models Epidemiology Mathematical models Epidemiology Mathematical models Congresses |
| topic_facet | Mathematisches Modell Communicable diseases Mathematical models Epidemiology Mathematical models Epidemiology Mathematical models Congresses Konferenzschrift |
| url | https://doi.org/10.1515/9781400845620 |
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