Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Title
SIR -- model supported by a new density : action document for an adapted COVID-management / Marcus Hellwig.
ISBN
9783031052736 (electronic bk.)
3031052730 (electronic bk.)
9783031052729
3031052722
Published
Cham : Springer, 2022.
Language
English
Description
1 online resource (1 volume) : illustrations (black and white, and color).
Item Number
10.1007/978-3-031-05273-6 doi
Call Number
RA644.C67
Dewey Decimal Classification
614.592414
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Series
Springer essentials.
Occasion
Objectives
SIR model as the basis for a probabilistic model
Preventive consideration using probabilistic SIR modelling
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.
