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

Autorentext

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

Inhalt

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.