Hellwig Particle emission concept and probabilistic consideration of the development of infections in systems

Dynamics from logarithm and exponent in the infection process, percolation effects
1. Auflage 2021
ISBN: 978-3-030-69500-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 110 Seiten, eBook

The book describes the possibility of making a probabilistic prognosis, which uses the mean n-day logarithm of case numbers in the past to determine an exponent for a probability density for a prognosis, as well as the particle emission concept, which is derived from contact and distribution rates that increase the exponent of the probable development to the extent that a group of people can be formed. 

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Hellwig, Marcus

Inhaltsverzeichnis

Trends in the spread of infections, distribution and contact rates.- Addition of the 4th parameter kurtosis to the density Eqb.- Prediction using the density function and continuous adjustment of the parameters.- Basics for exponential propagation, the logarithm of historical data.- Developments in the USA.- Incidence under probabilistic aspects.- On the percolation theory COVID.- Examples of percolation effects.

Über Autor(innen)

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