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

Dynamics from logarithm and exponent in the infection process, percolation effects

verfasst von: Marcus Hellwig

Verlag: Springer International Publishing

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Wirtschaft" , Springer Professional "Technik"

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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Statement

Abstract

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”.

Marcus Hellwig

Chapter 2. Systemic Epidemics

Abstract

From the author’s point of view, a systemic distinction is made between epidemics of the following species:

Marcus Hellwig

Chapter 3. The Occurrence of Events

Abstract

The “occurrence of events” in this treatise is viewed as a period of time in which events take place together, albeit possibly offset in time within it.

Marcus Hellwig

Chapter 4. Interactions

Abstract

The following formalism was developed from a simple thought sketch as it is present in Fig. 4.1. It arose from the simple question: “How often do glasses sound when the birthday is toasted with champagne?”

Marcus Hellwig

Chapter 5. The Difference Between Influenza and COVID Waves

Abstract

Graphics showing the waveforms of infections are presented to the public. The forms result from the statistical surveys, which show the number of infections registered over a period of time—it is frequency distributions that assume waveforms. It should be noted that there are fundamental differences between an influenza wave and a COVID wave.

Marcus Hellwig

Chapter 6. Limits of Symmetrical Variance

Abstract

The manifestations of frequency distributions, as they are evident in almost all subject areas, influence the objective recording of situations in that they are often used as a basis for judgment. The process world also likes to use simple, memorable graphic representations. The symmetrical normal distribution density developed by Gauss is a good example of this.

Marcus Hellwig

Chapter 7. Leakage Effect—Percolation of the Virus

Abstract

When groups of living beings—people are one of them—come together, particles are exchanged in accordance with the particle emission concept. The particles are transmitted or exchanged via those infected who have.

Marcus Hellwig

Titel: Particle emission concept and probabilistic consideration of the development of infections in systems
verfasst von: Marcus Hellwig
Verlag: Springer International Publishing
Electronic ISBN: 978-3-030-69500-2
Print ISBN: 978-3-030-69499-9
DOI: https://doi.org/10.1007/978-3-030-69500-2