LEADER 03353nam 22005895 450 001 9910734840103321 005 20251009074933.0 010 $a3-031-31190-6 024 7 $a10.1007/978-3-031-31190-1 035 $a(CKB)27240776000041 035 $a(MiAaPQ)EBC30609743 035 $a(Au-PeEL)EBL30609743 035 $a(DE-He213)978-3-031-31190-1 035 $a(PPN)272264490 035 $a(EXLCZ)9927240776000041 100 $a20230626d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Probabilistic SIR Model (PSIR) in the Pandemic Process $eProject Management in Prevention and Support /$fby Marcus Hellwig 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer Vieweg,$d2023. 215 $a1 online resource (78 pages) 225 1 $aSpringer essentials,$x2731-3115 311 08$a9783031311895 327 $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. 330 $aWith all the insights experienced in the COVID process, one essential remains: "The virus remains a constant companion". In contrast to regularly occurring infection processes, a COVID infection takes a different course. This is characterized by a dynamic that deviates from conventional, well-known processes in that the originators change their identity and develop corresponding variants. Therefore, preventive infection management - supported by statistical-probabilistic analyzes with PSIR - is important for preventive management of resources and infrastructure for the "waves ahead of the wave". Content The "infection curve" I(t) is replaced by the skewed, steep Eqb - density function Representation of a process management Pre-phase planning supported by network planning technology Target Groups Virology, Departments of Health and Human Services Statistics Departments The Author Marcus Hellwig is a quality manager as qualified by the German Society for Quality DGQ and author of specialist books. 410 0$aSpringer essentials,$x2731-3115 606 $aStatistics 606 $aPublic health 606 $aProbabilities 606 $aApplied Statistics 606 $aPublic Health 606 $aApplied Probability 615 0$aStatistics. 615 0$aPublic health. 615 0$aProbabilities. 615 14$aApplied Statistics. 615 24$aPublic Health. 615 24$aApplied Probability. 676 $a614.5924144 676 $a614.5924144 700 $aHellwig$b Marcus$0897315 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734840103321 996 $aThe Probabilistic SIR Model (PSIR) in the Pandemic Process$93404890 997 $aUNINA