SIR -- model supported by a new density : action document for an adapted COVID-management / Marcus Hellwig.
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 th...
Saved in:
| Main Author: | |
|---|---|
| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
2022.
|
| Series: | Springer essentials.
|
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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" (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. |
|---|---|
| Physical Description: | 1 online resource : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 3031052722 9783031052729 3031052730 9783031052736 |