Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / Marcus Hellwig.
2021
RA652.2.M3
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Title
Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects / Marcus Hellwig.
Author
Hellwig, Marcus.
ISBN
9783030695002 (electronic bk.)
303069500X (electronic bk.)
9783030694999
3030694992
303069500X (electronic bk.)
9783030694999
3030694992
Publication Details
Cham : Springer, 2021.
Language
English
Description
1 online resource (117 pages)
Item Number
10.1007/978-3-030-69500-2 doi
Call Number
RA652.2.M3
Dewey Decimal Classification
614.4072/7
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed May 19, 2021).
Available in Other Form
Particle Emission Concept and Probabilistic Consideration of the Development of Infections in Systems.
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Table of Contents
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.
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.