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The Probabilistic SIR Model (PSIR) in the Pandemic Process : Project Management in Prevention and Support / by Marcus Hellwig
(Springer essentials. ISSN:27313115)

Edition 1st ed. 2023.
Publisher (Cham : Springer Nature Switzerland : Imprint: Springer Vieweg)
Year 2023
Language English
Size XII, 77 p. 48 illus : online resource
Authors *Hellwig, Marcus author
SpringerLink (Online service)
Subjects LCSH:Statistics 
LCSH:Public health
LCSH:Probabilities
FREE:Applied Statistics
FREE:Public Health
FREE:Applied Probability
Notes Occasion, 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
With 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
HTTP:URL=https://doi.org/10.1007/978-3-031-31190-1
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Springer eBooks 9783031311901
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Material Type E-Book
Classification LCC:QA276-280
DC23:519
ID 4001021133
ISBN 9783031311901

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