LEADER 04201nam 22008295 450 001 996479367603316 005 20240221122114.0 010 $a3-031-05273-0 024 7 $a10.1007/978-3-031-05273-6 035 $a(MiAaPQ)EBC7015838 035 $a(Au-PeEL)EBL7015838 035 $a(CKB)23736963600041 035 $aEBL7015838 035 $a(AU-PeEL)EBL7015838 035 $a(DE-He213)978-3-031-05273-6 035 $a(PPN)269149961 035 $a(EXLCZ)9923736963600041 100 $a20220610d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSIR - Model Supported by a New Density$b[electronic resource] $eAction Document for an Adapted COVID - Management /$fby Marcus Hellwig 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (73 pages) 225 1 $aSpringer essentials,$x2731-3115 300 $aDescription based upon print version of record. 311 08$aPrint version: Hellwig, Marcus SIR - Model Supported by a New Density Cham : Springer International Publishing AG,c2022 9783031052729 320 $aIncludes bibliographical references. 327 $aOccasion -- Objectives -- SIR model as the basis for a probabilistic model -- Preventive consideration using probabilistic SIR modelling -- The ?infection curve? I (t) is replaced by the inclined, steep Eqb density function -- Events and findings from the recent past -- Ways out of symmetry, union with asymmetry -- Random scatter areas of the NV and the Eqb -- Presentation of the Equibalance Distribution, Eqb -- Infection management in relation to the course of incidence. 330 $aThe SIR - model supported by a new density and its derivatives receive a statistical data background from frequency distributions, from whose parameter values over the new density distribution a quality-oriented probability of the respective infection process and its future can be concluded. Thus the COVID - management receives a functionally model basis for the preventive control of the components time planning, cost development, quality management and personnel and material employment. The content SIR model as the basis for a probabilistic model Preventive consideration using probabilistic SIR modeling The ?infection curve? I (t) is replaced by the inclined, steep Eqb density function Events and findings from the recent past Ways out of symmetry, union with asymmetry Random scatter areas of the NV and the Eqb Presentation of the Equibalance Distribution, Eqb Infection management in relation to the course of incidence The target groups Health resources and services management, virology, students, statisticians. The author Marcus Hellwig is a quality manager according to the qualification by the German Society for Quality DGQ and author of technical books. 410 0$aSpringer essentials,$x2731-3115 606 $aStatistics 606 $aPublic health 606 $aBiometry 606 $aProbabilities 606 $aMathematical statistics 606 $aVirology 606 $aApplied Statistics 606 $aPublic Health 606 $aBiostatistics 606 $aApplied Probability 606 $aMathematical Statistics 606 $aVirology 606 $aEpidemiologia$2thub 606 $aCOVID-19$2thub 608 $aLlibres electrònics$2thub 615 0$aStatistics. 615 0$aPublic health. 615 0$aBiometry. 615 0$aProbabilities. 615 0$aMathematical statistics. 615 0$aVirology. 615 14$aApplied Statistics. 615 24$aPublic Health. 615 24$aBiostatistics. 615 24$aApplied Probability. 615 24$aMathematical Statistics. 615 24$aVirology. 615 7$aEpidemiologia 615 7$aCOVID-19 676 $a614.592414 700 $aHellwig$b Marcus$0897315 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996479367603316 996 $aSIR - Model Supported by a New Density$92880465 997 $aUNISA