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

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)

Buch | Softcover
XIII, 110 Seiten
2021 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-69499-9 (ISBN)
CHF 82,35 inkl. MwSt

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. 


lt;b> Marcus Hellwig is quality manager according to qualification by the German Society for Quality DGQ and author of reference books.

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.

Erscheinungsdatum
Zusatzinfo XIII, 110 p. 95 illus., 93 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 148 x 210 mm
Gewicht 171 g
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Addition of the parameter Kurtosis to the density Eqb4 • Analysis of density Eqb • Basis for a probabilistic forecast • Breathing air (aerosols) • Consequences of the percolation effect • Continuous adjustment of the parameters • Corona virus • Distribution rate and contact rate • Doubts about statistical surveys • Dynamic exponent • handshake • Hygiene consequences • Incidence under probabilistic aspects • Logarithm of historical data • On the percolation theory COVID • Prediction using the density function • Principles for exponential propagation • Principles of percolation-interface effects • Public Healthcare • Spread of biological infections • The difference between influenza flu and COVID wave
ISBN-10 3-030-69499-2 / 3030694992
ISBN-13 978-3-030-69499-9 / 9783030694999
Zustand Neuware
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