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＜E-Book＞
SIR - Model Supported by a New Density : Action Document for an Adapted COVID - Management / by Marcus Hellwig
(Springer essentials. ISSN:27313115)

Edition	1st ed. 2022.
Publisher	(Cham : Springer International Publishing : Imprint: Springer)
Year	2022
Language	English
Size	XII, 67 p. 47 illus : online resource
Authors	*Hellwig, Marcus author SpringerLink (Online service)
Subjects	LCSH:Statistics  LCSH:Public health LCSH:Biometry LCSH:Probabilities LCSH:Mathematical statistics LCSH:Virology FREE:Applied Statistics FREE:Public Health FREE:Biostatistics FREE:Applied Probability FREE:Mathematical Statistics FREE:Virology
Notes	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 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 HTTP:URL=https://doi.org/10.1007/978-3-031-05273-6

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