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

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 contentTrends in the spread of infections, distribution and contact ratesAddition of the 4th parameter kurtosis to the density EqbPrediction using the density function and continuous adjustment of the parametersBasics for exponential propagation, the logarithm of historical dataDevelopments in the USAIncidence under probabilistic aspectsOn the percolation theory COVIDExamples of percolation effects   
Thetarget 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.