Fractal Signatures in the Dynamics of an Epidemiology: An Analysis of COVID-19 Transmission - Image 1

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CRC Press Fractal Signatures in the Dynamics of an Epidemiology: An Analysis of COVID-19 Transmission

Name: Fractal Signatures in the Dynamics of an Epidemiology: An Analysis of COVID-19 Transmission
Brand: CRC Press
Price: 102.8 GBP
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Infectious & Contagious Diseases

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Description

The recent COVID-19 pandemic threw the world into complete chaos with its rapid and devastating spread. Scientists are still trying to obtain a better understanding of the patterns of COVID-19 and trying to get a deeper understanding of mutant strains and their pathogenicity by performing genomic sequences of more samples. Fractal-based analysis provides its unique forecasting policy to reduce the spread of COVID-19, and in general, of any outbreaks. The book presents fractal and multifractal models of COVID-19 and reviews the impact of the pandemic including epidemiology, genome organization, transmission cycle, and control strategies based on mathematical models towards developing an immune intervention. Also, it covers non-clinical aspects such as economic development with graphical illustrations, meeting the needs of onlookers outside the sector who desire additional information on the epidemic. The fractal signatures describe the fractal textures in the patterns of Coronavirus. Studies on the epidemiology of COVID-19 in relation with the fractals and fractal functions serve to exhibit its irregular chaotic nature. Moreover, the book with its wide coverage on the Hurst exponent analysis and the fractal dimension estimation, greatly aids in measuring the epidemiology.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1032327693
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Internal Medicine > Diseases & Disorders > Infectious & Contagious Diseases
Domain: Amazon UK
Release Date: 01 December 2023
Listed Since: 12 July 2023

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CRC Press Fractal Signatures in the Dynamics of an Epidemiology: An Analysis of COVID-19 Transmission

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