Particle emission concept and probabilistic consideration of the development of infections in systems Dynamics from logarithm and exponent in the infection process, percolation effects 2021 Original pdf

Particle emission concept and probabilistic consideration of the development of infections in systems Dynamics from logarithm and exponent in the infection process, percolation effects 2021 Original pdf

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AUTHORS: Marcus Hellwig
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Particle emission concept and probabilistic consideration of the development of infections in systems Dynamics from logarithm and exponent in the infection process, percolation effects 2021 Original pdf

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.

The content
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

The target groups

Management of health resources and services, virology, students, statisticians
The author
​Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.

AUTHORS: Marcus Hellwig

PAGES: 110

YEAR: 2021

PUBLICATION: Springer, Cham

LANGUAGE: English

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