LEADER 04151nam 2200817Ia 450 001 9910965425403321 005 20200520144314.0 010 $a9786613891204 010 $a9781283578752 010 $a1283578751 010 $a9781400845620 010 $a1400845629 024 7 $a10.1515/9781400845620 035 $a(CKB)2670000000241519 035 $a(EBL)1011050 035 $a(OCoLC)812289802 035 $a(SSID)ssj0000711564 035 $a(PQKBManifestationID)11444694 035 $a(PQKBTitleCode)TC0000711564 035 $a(PQKBWorkID)10693541 035 $a(PQKB)10766157 035 $a(StDuBDS)EDZ0000515170 035 $a(DE-B1597)453861 035 $a(OCoLC)979910930 035 $a(DE-B1597)9781400845620 035 $a(Au-PeEL)EBL1011050 035 $a(CaPaEBR)ebr10597120 035 $a(CaONFJC)MIL389120 035 $z(PPN)199244332 035 $a(PPN)187960755 035 $a(FR-PaCSA)88838002 035 $a(MiAaPQ)EBC1011050 035 $a(Perlego)735638 035 $a(FRCYB88838002)88838002 035 $a(EXLCZ)992670000000241519 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 $aDescription based upon print version of record. 311 08$a9780691155395 311 08$a0691155399 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 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-$01795476 701 $aBritton$b Tom$057783 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910965425403321 996 $aMathematical tools for understanding infectious diseases dynamics$94336825 997 $aUNINA LEADER 02307oam 2200445zu 450 001 9910133552603321 005 20241212220312.0 010 $a9781467355537 010 $a1467355534 035 $a(CKB)3280000000025687 035 $a(SSID)ssj0001106122 035 $a(PQKBManifestationID)12491406 035 $a(PQKBTitleCode)TC0001106122 035 $a(PQKBWorkID)11057221 035 $a(PQKB)10178306 035 $a(NjHacI)993280000000025687 035 $a(EXLCZ)993280000000025687 100 $a20160829d2013 uy 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$a2013 IEEE-IAS/PCA Cement Industry Technical Conference 210 31$a[Place of publication not identified]$cIEEE$d2013 215 $a1 online resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9781467355520 311 08$a1467355526 327 $a[Title page] -- [Copyright notice] -- Optimizing cost and quality of finished cement using near Infra-Red gypsum on line analysis and model predictive control -- Condition based monitoring - Kiln and ball mill girth gear audit -- Electrical AC drive conversion strategies for optimizing cement production - A case study -- Hydraulic drive systems for Clinker coolers -- The selection and application of lubricants for rotary kiln girth gears and pinions -- Advancements in meeting new regulations with activated carbon: Results from full scale cement plant field tests -- California's climate change program & implications for the cement industry -- Catalytic Ceramic filter reduces emission of organic air pollutants from a cement plant -- Filter bag seams as a source of particulate matter (PM) emissions -- Mercury balances in modern cement plants -- Reduce operating and energy costs and simultaneously assure EPA regulatory compliance with integration of intelligent baghouse control and sensing -- The changing U.S. regulatory landscape for alternative fuels. 606 $aCement$vCongresses 606 $aCement plants$xEnergy conservation 615 0$aCement 615 0$aCement plants$xEnergy conservation. 676 $a620.135 801 0$bPQKB 906 $aPROCEEDING 912 $a9910133552603321 996 $a2013 IEEE-IAS$92502378 997 $aUNINA