Particle emission concept and probabilistic consideration of the development of infections in systems Dynamics from logarithm and exponent in the infection process, percolation effects
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 t...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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