Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects
著者
書誌事項
Particle emission concept and probabilistic consideration of the development of infections in systems : dynamics from logarithm and exponent in the infection process, percolation effects
Springer, c2021
- : pbk
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
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