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.

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Yes, you can access Fractal Signatures in the Dynamics of an Epidemiology by Santo Banerjee, A. Gowrisankar, Santo Banerjee,A. Gowrisankar in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

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Index

Cover Page
Title Page
Copyright Page
Preface
Contents
1. Analysis of the Current, Past, and Future Evolution of COVID-19
2. A Fractal Viewpoint to Covid-19 Infection
3. Design of Covid-19 Fractal Antenna Array for 5G and mm-WAVE Wireless Application
4. Design of Fractal COVID-19 Microstrip Patch Antenna Array for Wireless Applications
5. Fluctuation Analysis Through Multifractals for the Pathogenesis of SARS-CoV-2 aka nCoV-19 Community Spread in USA
6. Multifractal Detrended Fluctuation Analysis on COVID-19 Dynamics
7. An Integrated Perspective of Fractal Time Series Analysis for Infected Cases of COVID-19
8. A Mathematical Model for COVID-19 Pandemic with the Impact of Economic Development
9. Growth Analysis of Covid-19 Cases Using Fractal Interpolation Functions
10. Classification of COVID-19 Time Series Through Hurst Exponent and Fractal Dimension
11. A Study on the Variants and Subvariants of a Solitary Virus
12. Mathematical Modelling of Multicellular Tumor Spheroid Growth Using Lambert function
Index

About this book

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