LEADER 02509oam 2200697 450 001 9910716749203321 005 20220609125634.0 035 $a(CKB)5470000002524684 035 $a(OCoLC)1264224749 035 $a(EXLCZ)995470000002524684 100 $a20210818d2021 ua 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAppropriations for fiscal year 2022 $ehearing before the Committee on Appropriations, House of Representatives, One Hundred Seventeenth Congress, first session, June 9, 2021 210 1$aWashington :$cU.S. Government Publishing Office,$d2021. 215 $a1 online resource (iii, 222 pages) 300 $a"Member Day testimony for fiscal year 2022 appropriations." 517 $aAppropriations for fiscal year 2022 606 $aBudget$zUnited States 606 $aEconomic development projects$xFinance 606 $aInfrastructure (Economics)$zUnited States$xFinance 606 $aWater resources development$zUnited States$xFinance 606 $aEducation$zUnited States$xFinance 606 $aMedical care$zUnited States$xFinance 606 $aBudget$2fast 606 $aEconomic development projects$xFinance$2fast 606 $aEducation$xFinance$2fast 606 $aExpenditures, Public$2fast 606 $aInfrastructure (Economics)$xFinance$2fast 606 $aMedical care$xFinance$2fast 606 $aWater resources development$xFinance$2fast 607 $aUnited States$xAppropriations and expenditures 607 $aUnited States$2fast 608 $aLegislative hearings.$2fast 608 $aLegislative hearings.$2lcgft 615 0$aBudget 615 0$aEconomic development projects$xFinance. 615 0$aInfrastructure (Economics)$xFinance. 615 0$aWater resources development$xFinance. 615 0$aEducation$xFinance. 615 0$aMedical care$xFinance. 615 7$aBudget. 615 7$aEconomic development projects$xFinance. 615 7$aEducation$xFinance. 615 7$aExpenditures, Public. 615 7$aInfrastructure (Economics)$xFinance. 615 7$aMedical care$xFinance. 615 7$aWater resources development$xFinance. 801 0$bGPO 801 1$bGPO 801 2$bGPO 801 2$bOCLCO 801 2$bOCLCF 801 2$bGPO 906 $aBOOK 912 $a9910716749203321 996 $aAppropriations for fiscal year 2022$93505182 997 $aUNINA LEADER 04906nam 2200865Ia 450 001 9910959866403321 005 20240912175807.0 010 $a9786612935916 010 $a9786612458088 010 $a9781282458086 010 $a1282458086 010 $a9781282935914 010 $a1282935917 010 $a9781400831708 010 $a1400831709 024 7 $a10.1515/9781400831708 035 $a(CKB)2520000000006985 035 $a(EBL)483584 035 $a(OCoLC)650310316 035 $a(SSID)ssj0000418538 035 $a(PQKBManifestationID)11929511 035 $a(PQKBTitleCode)TC0000418538 035 $a(PQKBWorkID)10370823 035 $a(PQKB)11335023 035 $a(MdBmJHUP)muse36581 035 $a(DE-B1597)446936 035 $a(OCoLC)979745246 035 $a(DE-B1597)9781400831708 035 $a(Au-PeEL)EBL483584 035 $a(CaPaEBR)ebr10364720 035 $a(CaONFJC)MIL293591 035 $a(Au-PeEL)EBL4968609 035 $a(CaONFJC)MIL245808 035 $a(OCoLC)1027198390 035 $a(PPN)170238598 035 $a(FR-PaCSA)45003570 035 $a(MiAaPQ)EBC483584 035 $a(MiAaPQ)EBC4968609 035 $a(Perlego)734789 035 $a(FRCYB45003570)45003570 035 $a(EXLCZ)992520000000006985 100 $a20080828d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe geographic spread of infectious diseases $emodels and applications /$fLisa Sattenspiel with contributions from Alun Lloyd 205 $aCourse Book 210 $aPrinceton $cPrinceton University Press$dc2009 215 $a1 online resource (299 p.) 225 1 $aPrinceton series in theoretical and computational biology 300 $aDescription based upon print version of record. 311 08$a9780750939751 311 08$a0750939753 311 08$a9780691121321 311 08$a069112132X 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $tChapter One. Introduction -- $tChapter Two. The Art of Epidemic Modeling: Concepts and Basic Structures -- $tChapter Three. Modeling the Geographic Spread of In uenza Epidemics -- $tChapter Four. Modeling Geographic Spread I: Population-based Approaches -- $tChapter Five. Spatial Heterogeneity and Endemicity: The Case of Measles -- $tChapter Six. Modeling Geographic Spread II: Individual-based Approaches -- $tChapter Seven. Spatial Models and the Control of Foot-and-Mouth Disease -- $tChapter Eight. Maps, Projections, and GIS: Geographers' Approaches -- $tChapter Nine. Revisiting SARS and Looking to the Future -- $tBibliography -- $tIndex 330 $aThe 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insights resulting from mathematical models. Models enabled authorities to better understand how the disease spread and to assess the relative effectiveness of different control strategies. In this book, Lisa Sattenspiel and Alun Lloyd provide a comprehensive introduction to mathematical models in epidemiology and show how they can be used to predict and control the geographic spread of major infectious diseases. Key concepts in infectious disease modeling are explained, readers are guided from simple mathematical models to more complex ones, and the strengths and weaknesses of these models are explored. The book highlights the breadth of techniques available to modelers today, such as population-based and individual-based models, and covers specific applications as well. Sattenspiel and Lloyd examine the powerful mathematical models that health authorities have developed to understand the spatial distribution and geographic spread of influenza, measles, foot-and-mouth disease, and SARS. Analytic methods geographers use to study human infectious diseases and the dynamics of epidemics are also discussed. A must-read for students, researchers, and practitioners, no other book provides such an accessible introduction to this exciting and fast-evolving field. 410 0$aPrinceton series in theoretical and computational biology. 606 $aCommunicable diseases$xEpidemiology$xMathematical models 606 $aPublic health 615 0$aCommunicable diseases$xEpidemiology$xMathematical models. 615 0$aPublic health. 676 $a614.401/5118 700 $aSattenspiel$b Lisa$01796922 701 $aLloyd$b Alun$f1970-$01796923 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910959866403321 996 $aThe geographic spread of infectious diseases$94338926 997 $aUNINA