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035   $a(DE-B1597)9781400845620
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100   $a20120501d2012      uy         0
101 0 $aeng
135   $aurnn#---|u||u
181   $ctxt
182   $cc
183   $acr
200 10$aMathematical tools for understanding infectious diseases dynamics /$fOdo Diekmann, Hans Heesterbeek, and Tom Britton
205   $aCourse Book
210   $aPrinceton $cPrinceton University Press$d2012
215   $a1 online resource (517 p.)
225 0 $aPrinceton series in theoretical and computational biology
300   $aDescription based upon print version of record.
311   $a0-691-15539-9 
320   $aIncludes bibliographical references and index.
327   $tFront matter --$tContents --$tPreface --$tPart I. The bare bones: Basic issues in the simplest context --$tPart II. Structured populations --$tPart III. Case studies on inference --$tPart IV. Elaborations --$tBibliography --$tIndex
330   $aMathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout
410  0$aPrinceton Series in Theoretical and Computational Biology
606   $aEpidemiology$xMathematical models$vCongresses
606   $aEpidemiology$xMathematical models
606   $aCommunicable diseases$xMathematical models
610   $aBayesian statistical inference.
610   $aICU model.
610   $aMarkov chain Monte Carlo method.
610   $aMarkov chain Monte Carlo methods.
610   $aReed?rost epidemic.
610   $aage structure.
610   $aasymptotic speed.
610   $abacterial infections.
610   $abiological interpretation.
610   $aclosed population.
610   $acompartmental epidemic systems.
610   $aconsistency conditions.
610   $acontact duration.
610   $ademography.
610   $adependence.
610   $adisease control.
610   $adisease outbreaks.
610   $adisease prevention.
610   $adisease transmission.
610   $aendemic.
610   $aepidemic models.
610   $aepidemic outbreak.
610   $aepidemic.
610   $aepidemiological models.
610   $aepidemiological parameters.
610   $aepidemiology.
610   $ageneral epidemic.
610   $agrowth rate.
610   $ahomogeneous community.
610   $ahospital infections.
610   $ahospital patients.
610   $ahost population growth.
610   $ahost.
610   $ahuman social behavior.
610   $ai-states.
610   $aindividual states.
610   $ainfected host.
610   $ainfection transmission.
610   $ainfection.
610   $ainfectious disease epidemiology.
610   $ainfectious disease.
610   $ainfectious diseases.
610   $ainfectious output.
610   $ainfective agent.
610   $ainfectivity.
610   $aintensive care units.
610   $aintrinsic growth rate.
610   $alarvae.
610   $amacroparasites.
610   $amathematical modeling.
610   $amathematical reasoning.
610   $amaximum likelihood estimation.
610   $amicroparasites.
610   $amodel construction.
610   $aoutbreak situations.
610   $aoutbreak.
610   $apair approximation.
610   $aparasite load.
610   $aparasite.
610   $apopulation models.
610   $apropagation speed.
610   $areproduction number.
610   $aseparable mixing.
610   $asexual activity.
610   $astochastic epidemic model.
610   $astructured population models.
610   $asusceptibility.
610   $avaccination.
615  0$aEpidemiology$xMathematical models
615  0$aEpidemiology$xMathematical models.
615  0$aCommunicable diseases$xMathematical models.
676   $a614.4
686   $aSCI008000$aMAT003000$aMED022090$2bisacsh
700   $aDiekmann$b O$058759
701   $aHeesterbeek$b Hans$f1960-$01631107
701   $aBritton$b Tom$057783
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910816709103321
996   $aMathematical tools for understanding infectious diseases dynamics$93969756
997   $aUNINA