001470134 000__ 04019cam\\22006137a\4500
001470134 001__ 1470134
001470134 003__ OCoLC
001470134 005__ 20230803003403.0
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001470134 008__ 230708s2023\\\\sz\\\\\\ob\\\\000\0\eng\d
001470134 019__ $$a1387008088
001470134 020__ $$a9783031311901$$q(electronic bk.)
001470134 020__ $$a3031311906$$q(electronic bk.)
001470134 020__ $$z3031311892
001470134 020__ $$z9783031311895
001470134 0247_ $$a10.1007/978-3-031-31190-1$$2doi
001470134 035__ $$aSP(OCoLC)1388501042
001470134 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dYDX
001470134 049__ $$aISEA
001470134 050_4 $$aRA644.C67
001470134 08204 $$a614.5924144$$223/eng/20230710
001470134 1001_ $$aHellwig, Marcus.
001470134 24514 $$aThe probabilistic SIR model (PSIR) in the pandemic process :$$bproject management in prevention and support /$$cMarcus Hellwig.
001470134 260__ $$aCham :$$bSpringer Vieweg,$$c2023.
001470134 300__ $$a1 online resource (78 p.).
001470134 336__ $$atext$$btxt$$2rdacontent
001470134 337__ $$acomputer$$bc$$2rdamedia
001470134 338__ $$aonline resource$$bcr$$2rdacarrier
001470134 4901_ $$aEssentials Series
001470134 504__ $$aIncludes bibliiographical references.
001470134 5050_ $$aOccasion, derived from a letter to the editor -- Objectives -- SIR model as a basis for a probabilistic model -- Introduction: Consideration of an infection interval for a federal state -- The infection curve I(t) is replaced by the skewed, steep Eqb density function -- Random ranges of NV and Eqb -- Presentation of the equibalance distribution, Eqb -- Infection management in connection with the course of the incidence -- Infection, avoidance and healing process, feedback -- Representation of a process management -- Pre-phase planning supported by network planning technology -- Summary.
001470134 506__ $$aAccess limited to authorized users.
001470134 520__ $$aWith all the insights experienced in the COVID process, one essential remains: "The virus remains a constant companion". In contrast to regularly occurring infection processes, a COVID infection takes a different course. This is characterized by a dynamic that deviates from conventional, well-known processes in that the originators change their identity and develop corresponding variants. Therefore, preventive infection management - supported by statistical-probabilistic analyzes with PSIR - is important for preventive management of resources and infrastructure for the "waves ahead of the wave". Content The "infection curve" I(t) is replaced by the skewed, steep Eqb - density function Representation of a process management Pre-phase planning supported by network planning technology Target Groups Virology, Departments of Health and Human Services Statistics Departments The Author Marcus Hellwig is a quality manager as qualified by the German Society for Quality DGQ and author of specialist books.
001470134 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 10, 2023).
001470134 650_0 $$aCOVID-19 (Disease)$$xEpidemiology.
001470134 650_0 $$aCOVID-19 (Disease)$$xStatistical methods.
001470134 655_0 $$aElectronic books.
001470134 77608 $$iPrint version:$$aHellwig, Marcus$$tThe Probabilistic SIR Model (PSIR) in the Pandemic Process$$dCham : Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH,c2023$$z9783031311895
001470134 830_0 $$aSpringer essentials.
001470134 852__ $$bebk
001470134 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-31190-1$$zOnline Access$$91397441.1
001470134 909CO $$ooai:library.usi.edu:1470134$$pGLOBAL_SET
001470134 980__ $$aBIB
001470134 980__ $$aEBOOK
001470134 982__ $$aEbook
001470134 983__ $$aOnline
001470134 994__ $$a92$$bISE