001447606 000__ 03474cam\a2200505Ii\4500 001447606 001__ 1447606 001447606 003__ OCoLC 001447606 005__ 20230310004126.0 001447606 006__ m\\\\\o\\d\\\\\\\\ 001447606 007__ cr\cn\nnnunnun 001447606 008__ 220621s2022\\\\sz\a\\\\ob\\\\000\0\eng\d 001447606 019__ $$a1330195984$$a1330935314 001447606 020__ $$a9783031052736$$q(electronic bk.) 001447606 020__ $$a3031052730$$q(electronic bk.) 001447606 020__ $$z9783031052729 001447606 020__ $$z3031052722 001447606 0247_ $$a10.1007/978-3-031-05273-6$$2doi 001447606 035__ $$aSP(OCoLC)1331306748 001447606 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ 001447606 049__ $$aISEA 001447606 050_4 $$aRA644.C67 001447606 08204 $$a614.592414$$223/eng/20220621 001447606 1001_ $$aHellwig, Marcus,$$eauthor. 001447606 24510 $$aSIR -- model supported by a new density :$$baction document for an adapted COVID-management /$$cMarcus Hellwig. 001447606 264_1 $$aCham :$$bSpringer,$$c2022. 001447606 300__ $$a1 online resource (1 volume) :$$billustrations (black and white, and color). 001447606 336__ $$atext$$btxt$$2rdacontent 001447606 337__ $$acomputer$$bc$$2rdamedia 001447606 338__ $$aonline resource$$bcr$$2rdacarrier 001447606 4901_ $$aSpringer essentials 001447606 504__ $$aIncludes bibliographical references. 001447606 5050_ $$aOccasion -- Objectives -- SIR model as the basis for a probabilistic model -- Preventive consideration using probabilistic SIR modelling -- The "infection curve" (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. 001447606 506__ $$aAccess limited to authorized users. 001447606 520__ $$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" (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. 001447606 588__ $$aDescription based on print version record. 001447606 650_0 $$aCOVID-19 (Disease)$$xEpidemiology. 001447606 655_0 $$aElectronic books. 001447606 77608 $$iPrint version:$$aHellwig, Marcus.$$tSIR - model supported by a new density.$$dCham : Springer, 2022$$z9783031052729$$w(OCoLC)1328008541 001447606 830_0 $$aSpringer essentials. 001447606 852__ $$bebk 001447606 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05273-6$$zOnline Access$$91397441.1 001447606 909CO $$ooai:library.usi.edu:1447606$$pGLOBAL_SET 001447606 980__ $$aBIB 001447606 980__ $$aEBOOK 001447606 982__ $$aEbook 001447606 983__ $$aOnline 001447606 994__ $$a92$$bISE