Dynamics from logarithm and exponent in the infection process, percolation effects
Buch, Englisch, 110 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 172 g
ISBN: 978-3-030-69499-9
Verlag: Springer International Publishing
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Naturwissenschaften Biowissenschaften Virologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Medizinische Mikrobiologie & Virologie
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Public Health, Gesundheitsmanagement, Gesundheitsökonomie, Gesundheitspolitik
- Mathematik | Informatik Mathematik Stochastik Stochastische Prozesse
- Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
Weitere Infos & Material
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.
