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Mathematical Tools for Understanding Infectious Disease Dynamics

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Title: Mathematical Tools for Understanding Infectious Disease Dynamics
Description: 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 epidemiologyIntegrates deterministic and stochastic approachesTeaches skills in model construction, analysis, inference, and interpretationFeatures numerous exercises and their detailed elaborationsMotivated by real-world applications throughout
Authors: Odo Diekmann, Hans Heesterbeek, Tom Britton
Resource Type: eBook.
Subjects: Epidemiology, Mathematical models, Communicable diseases--Mathematical models, Epidemiology--Mathematical models--Congresses, Epidemiology--Mathematical models, Communicable diseases
Categories: SCIENCE / Life Sciences / Biology, MATHEMATICS / Applied, MEDICAL / Infectious Diseases
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-epub
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DbLabel: eBook Collection (EBSCOhost)
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RelevancyScore: 1051
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1050.81640625
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  Data: Mathematical Tools for Understanding Infectious Disease Dynamics
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  Label: Description
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  Data: 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 epidemiologyIntegrates deterministic and stochastic approachesTeaches skills in model construction, analysis, inference, and interpretationFeatures numerous exercises and their detailed elaborationsMotivated by real-world applications throughout
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  Data: <searchLink fieldCode="AR" term="%22Odo+Diekmann%22">Odo Diekmann</searchLink><br /><searchLink fieldCode="AR" term="%22Hans+Heesterbeek%22">Hans Heesterbeek</searchLink><br /><searchLink fieldCode="AR" term="%22Tom+Britton%22">Tom Britton</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 614.4
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Epidemiology
        Type: general
      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Communicable diseases--Mathematical models
        Type: general
      – SubjectFull: Epidemiology--Mathematical models--Congresses
        Type: general
      – SubjectFull: Epidemiology--Mathematical models
        Type: general
      – SubjectFull: Communicable diseases
        Type: general
    Titles:
      – TitleFull: Mathematical Tools for Understanding Infectious Disease Dynamics
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Odo Diekmann
      – PersonEntity:
          Name:
            NameFull: Hans Heesterbeek
      – PersonEntity:
          Name:
            NameFull: Tom Britton
      – PersonEntity:
          Name:
            NameFull: Odo Diekmann
      – PersonEntity:
          Name:
            NameFull: Hans Heesterbeek
      – PersonEntity:
          Name:
            NameFull: Tom Britton
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780691155395
            – Type: isbn-electronic
              Value: 9781400845620
          Titles:
            – TitleFull: Mathematical Tools for Understanding Infectious Disease Dynamics
              Type: main
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