SIR - Model Supported by a New Density

The SIR - model supported by a new density and its derivatives receive a statistical data background from frequency distributions, from whose parameter values over the new density distribution a quality-oriented probability of the respective infection process and its future can be concluded. Thus the COVID - management receives a functionally model basis for the preventive control of the components time planning, cost development, quality management and personnel and material employment.

The content

• SIR model as the basis for a probabilistic model
• Preventive consideration using probabilistic SIR modeling
• The "infection curve" I (t) is replaced by the inclined, steep Eqb density function
• Events and findings from the recent past
• Ways out of symmetry, union with asymmetry
• Random scatter areas of the NV and the Eqb
• Presentation of the Equibalance Distribution, Eqb
• Infection management in relation to the course of incidence

The target groups Health resources and services management, virology, students, statisticians.

The author

Marcus Hellwig is a quality manager according to the qualification by the German Society for Quality DGQ and author of technical books

Auteur

Marcus Hellwig is a quality manager according to the qualification by the German Society for Quality DGQ and author of technical books.

Contenu

Occasion.- Objectives.- SIR model as the basis for a probabilistic model.- Preventive consideration using probabilistic SIR modelling.- The "infection curve" I (t) is replaced by the inclined, steep Eqb density function.- Events and findings from the recent past.- Ways out of symmetry, union with asymmetry.- Random scatter areas of the NV and the Eqb.- Presentation of the Equibalance Distribution, Eqb.- Infection management in relation to the course of incidence.