SIR - Model Supported by a New Density

Action Document for an Adapted COVID - Management
1. Auflage 2022
ISBN: 978-3-031-05272-9
Verlag: Springer, Berlin

Buch, Englisch, 67 Seiten, Format (B × H): 148 mm x 210 mm

Reihe: essentials

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.

Autoren/Hrsg.

Hellwig, Marcus

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik

Inhaltsverzeichnis

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.

Über Autor(innen)

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