SIR - Model Supported by a New Density SIR - Model Supported by a New Density
essentials

SIR - Model Supported by a New Density

Action Document for an Adapted COVID - Management

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Publisher Description

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 modelPreventive consideration using probabilistic SIR modelingThe “infection curve” I (t) is replaced by the inclined, steep Eqb density functionEvents and findings from the recent pastWays out of symmetry, union with asymmetryRandom scatter areas of the NV and the EqbPresentation of the Equibalance Distribution, EqbInfection 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

GENRE
Science & Nature
RELEASED
2022
June 10
LANGUAGE
EN
English
LENGTH
79
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
19.1
MB
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