SIR - Model Supported by a New Density: Action Document for an Adapted COVID - Management

by Marcus Hellwig

Overview

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.

Product Details

ISBN-13:	9783031052736
Publisher:	Springer-Verlag New York, LLC
Publication date:	06/10/2022
Series:	essentials
Sold by:	Barnes & Noble
Format:	eBook
File size:	19 MB
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About the Author

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

Table of Contents

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.