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The Probabilistic SIR Model (PSIR) in the Pandemic Process : Project Management in Prevention and Support / by Marcus Hellwig.
Springer Nature - Springer Mathematics and Statistics eBooks 2023 English International Available online
Springer Nature - Springer Mathematics and Statistics eBooks 2023 English International- Format:
- Book
- Author/Creator:
- Hellwig, Marcus.
- Series:
- Springer essentials, 2731-3115
- Language:
- English
- Subjects (All):
- Statistics.
- Public health.
- Probabilities.
- Applied Statistics.
- Public Health.
- Applied Probability.
- Local Subjects:
- Applied Statistics.
- Public Health.
- Applied Probability.
- Physical Description:
- 1 online resource (78 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer Vieweg, 2023.
- 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.
- Contents:
- 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.
- ISBN:
- 3-031-31190-6
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