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

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

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Bibliographic Details
Author / Creator:	Hellwig, Marcus.
Imprint:	Cham : Springer, 2021.
Description:	1 online resource (117 p.)
Language:	English
Subject:	Epidemiology -- Statistical methods. Epidemiology -- Research. Epidemiology -- Research. Epidemiology -- Statistical methods.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12612745

Hidden Bibliographic Details
ISBN:	9783030695002 303069500X 9783030694999 3030694992
Notes:	Includes bibliographical references. Online resource; title from PDF title page (SpringerLink, viewed May 19, 2021).
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.
Other form:	Print version: Hellwig, Marcus Particle Emission Concept and Probabilistic Consideration of the Development of Infections in Systems Cham : Springer International Publishing AG,c2021 9783030694999
Standard no.:	10.1007/978-3-030-69500-2

Description
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.
Physical Description:	1 online resource (117 p.)
Bibliography:	Includes bibliographical references.
ISBN:	9783030695002 303069500X 9783030694999 3030694992