Particle emission concept and probabilistic consideration of the development of infections in systems: Dynamics from logarithm and exponent in the infection process, percolation effects
Autor Marcus Hellwigen Limba Engleză Paperback – 4 mai 2021
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.
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Specificații
ISBN-13: 9783030694999
ISBN-10: 3030694992
Pagini: 68
Ilustrații: XIII, 110 p. 95 illus., 93 illus. in color.
Dimensiuni: 148 x 210 x 20 mm
Greutate: 0.16 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
ISBN-10: 3030694992
Pagini: 68
Ilustrații: XIII, 110 p. 95 illus., 93 illus. in color.
Dimensiuni: 148 x 210 x 20 mm
Greutate: 0.16 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland
Cuprins
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.
Notă biografică
Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.
Textul de pe ultima copertă
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
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.
Caracteristici
To create a probabilistic forecast Derivation of the particulate emission concept from contact and distribution rates Comprehensive consideration of the interrelationships