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 and the particle emission concept, which is derived from contact and distribution rates.

Format: Paperback / softback
Length: 110 pages
Publication date: 04 May 2021
Publisher: Springer Nature Switzerland AG

The book delves into the fascinating realm of probabilistic prognostication, a method that employs the mean n-day logarithm of historical case numbers to calculate an exponent for a probability density function. This calculation serves as the foundation for making predictions about the future trajectory of disease spread. Additionally, the book introduces the concept of particle emission, which is intricately linked to contact and distribution rates. By incorporating these rates, the probability of development can be significantly amplified, ultimately leading to the formation of a cohesive group of individuals affected by the disease. This innovative approach offers valuable insights into disease dynamics and provides a powerful tool for public health officials and researchers to mitigate the impact of infectious diseases.
The book explores the captivating realm of probabilistic prognostication, a method that harnesses the power of the mean n-day logarithm of historical case numbers to determine an exponent for a probability density function. This calculation serves as the cornerstone for making predictions about the future course of disease spread. Moreover, the book introduces the concept of particle emission, which is intricately linked to contact and distribution rates. By incorporating these rates, the probability of development can be significantly amplified, ultimately leading to the formation of a cohesive group of individuals affected by the disease. This innovative approach offers invaluable insights into disease dynamics and provides a robust tool for public health officials and researchers to mitigate the impact of infectious diseases.

The book delves into the intricate world of probabilistic prognostication, a method that employs the mean n-day logarithm of historical case numbers to calculate an exponent for a probability density function. This calculation forms the basis for making predictions about the future trajectory of disease spread. Additionally, the book introduces the concept of particle emission, which is intricately linked to contact and distribution rates. By incorporating these rates, the probability of development can be significantly amplified, ultimately leading to the formation of a cohesive group of individuals affected by the disease. This innovative approach provides valuable insights into disease dynamics and offers a powerful tool for public health officials and researchers to mitigate the impact of infectious diseases.

The book explores the captivating realm of probabilistic prognostication, a method that harnesses the power of the mean n-day logarithm of historical case numbers to determine an exponent for a probability density function. This calculation serves as the foundation for making predictions about the future course of disease spread. Moreover, the book introduces the concept of particle emission, which is intricately linked to contact and distribution rates. By incorporating these rates, the probability of development can be significantly amplified, ultimately leading to the formation of a cohesive group of individuals affected by the disease. This innovative approach offers invaluable insights into disease dynamics and provides a robust tool for public health officials and researchers to mitigate the impact of infectious diseases.

Weight: 174g
Dimension: 147 x 210 x 20 (mm)
ISBN-13: 9783030694999
Edition number: 1st ed. 2021