@article{1436407,
      recid = {1436407},
      author = {Hellwig, Marcus.},
      title = {Particle emission concept and probabilistic consideration  of the development of infections in systems : dynamics from  logarithm and exponent in the infection process,  percolation effects /},
      publisher = {Springer,},
      address = {Cham :},
      pages = {1 online resource (117 pages)},
      year = {2021},
      abstract = {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.},
      url = {http://library.usi.edu/record/1436407},
      doi = {https://doi.org/10.1007/978-3-030-69500-2},
}