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Title
The probabilistic SIR model (PSIR) in the pandemic process : project management in prevention and support / Marcus Hellwig.
ISBN
9783031311901 (electronic bk.)
3031311906 (electronic bk.)
3031311892
9783031311895
Publication Details
Cham : Springer Vieweg, 2023.
Language
English
Description
1 online resource (78 p.).
Item Number
10.1007/978-3-031-31190-1 doi
Call Number
RA644.C67
Dewey Decimal Classification
614.5924144
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.
Bibliography, etc. Note
Includes bibliiographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 10, 2023).
Series
Springer essentials.
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.
