1.

Record Nr.

UNISA996479367603316

Autore

Hellwig Marcus

Titolo

SIR - Model Supported by a New Density [[electronic resource] ] : Action Document for an Adapted COVID - Management / / by Marcus Hellwig

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

3-031-05273-0

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (73 pages)

Collana

Springer essentials, , 2731-3115

Disciplina

614.592414

Soggetti

Statistics

Public health

Biometry

Probabilities

Mathematical statistics

Virology

Applied Statistics

Public Health

Biostatistics

Applied Probability

Mathematical Statistics

Epidemiologia

COVID-19

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

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.

Sommario/riassunto

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.