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

By Marcus Hellwig

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. 

• Language: English
• Publisher: Springer
• Release date: May 3, 2021
• ISBN: 9783030695002

Book preview

© The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

M. HellwigParticle emission concept and probabilistic consideration of the development of infections in systemshttps://doi.org/10.1007/978-3-030-69500-2_1

1. Statement

Marcus Hellwig¹  

(1)

Lautertal, Germany

Marcus Hellwig

Email: [e-mail]

The occurrence of events that have mutual influence on each other is the subject of this elaboration. People involved in these events are often amazed at the frequency with which they occur. One likes to speak of the coincidental in order to describe something like this as fateful.

These types of events can be quantified when it comes to formulating a forecast.

These events include both happy and unhappy as well as any coloration between the two, if one wants to hide them under the guise of fate.

The effects that those involved have on one another are decisive for the outcome of the events.

In this book examples are listed which exert more or less strong mutual effects and what effects these have on the numerical development of the