LIBERO WebOPAC Catalogue Display (W561)

Catalogue Information
Field name	Details
Dewey Class	519
Title	Particle emission concept and probabilistic consideration of the development of infections in systems ([EBook] :) : Dynamics from logarithm and exponent in the infection process, percolation effects / / by Marcus Hellwig.
Author	Hellwig, Marcus
Other name(s)	SpringerLink (Online service)
Edition statement	1st ed. 2021.
Publication	Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details	XIII, 110 p. 95 illus., 93 illus. in color. : online resource.
ISBN	9783030695002
Summary Note	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.:
Contents note	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.
Mode of acces to digital resource	Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	https://doi.org/10.1007/978-3-030-69500-2
Links to Related Works	Subject References: Applied Probability . Applied Statistics . Biometry . Biostatistics . Probabilities . Public Health . Statistics . Virology . Authors: author . Hellwig, Marcus . Corporate Authors: SpringerLink (Online service) . Classification: 519 .

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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 /

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