MARC Record from Library of Congress

LEADER: 02563nam a22003498a 4500
001 2012012058
003 DLC
005 20120501153915.0
008 120501s2013 nju b 001 0 eng
010 $a 2012012058
020 $a9780691155395 (hardback)
040 $aDLC$cDLC
042 $apcc
050 00 $aRA652.2.M3$bD54 2013
082 00 $a614.4$223
084 $aSCI008000$aMAT003000$aMED022090$2bisacsh
100 1 $aDiekmann, O.
245 10 $aMathematical tools for understanding infectious diseases /$cOdo Diekmann, Hans Heesterbeek, and Tom Britton.
260 $aPrinceton :$bPrinceton University Press,$cc2013.
263 $a1211
300 $ap. cm.
490 0 $aPrinceton series in theoretical and computational biology
520 $a"Mathematical modeling is critical to our understanding of how infectious diseases spread at the individual and population levels. This book gives readers the necessary skills to correctly formulate and analyze mathematical models in infectious disease epidemiology, and is the first treatment of the subject to integrate deterministic and stochastic models and methods. Mathematical Tools for Understanding Infectious Disease Dynamics fully explains how to translate biological assumptions into mathematics to construct useful and consistent models, and how to use the biological interpretation and mathematical reasoning to analyze these models. It shows how to relate models to data through statistical inference, and how to gain important insights into infectious disease dynamics by translating mathematical results back to biology. This comprehensive and accessible book also features numerous detailed exercises throughout; full elaborations to all exercises are provided. Covers the latest research in mathematical modeling of infectious disease epidemiology Integrates deterministic and stochastic approaches Teaches skills in model construction, analysis, inference, and interpretation Features numerous exercises and their detailed elaborations Motivated by real-world applications throughout "--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
650 0 $aEpidemiology$xMathematical models$vCongresses.
650 0 $aEpidemiology$xMathematical models.
650 0 $aCommunicable diseases$xMathematical models.
650 7 $aSCIENCE / Life Sciences / Biology / General.$2bisacsh
650 7 $aMATHEMATICS / Applied.$2bisacsh
650 7 $aMEDICAL / Infectious Diseases.$2bisacsh
700 1 $aHeesterbeek, Hans,$d1960-
700 1 $aBritton, Tom.