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Product details:
- ISBN-10 : 0367903059
- ISBN-13 : 978-0367903053
- Author:
This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.
This book covers mathematical modeling and soft computing techniques used to study the spread of diseases, predict the future course of an outbreak, and evaluate epidemic control strategies. This book explores the applications covering numerical and analytical solutions, presents basic and advanced concepts for beginners and industry professionals, and incorporates the latest methodologies and challenges using mathematical modeling and soft computing techniques in epidemiology.
Primary users of this book include researchers, academicians, postgraduate students, and specialists.
Table of contents:
Chapter 1 Evolutionary Modeling of Dengue Fever with Incubation Period of Virus
Chapter 2 Fuzzy-Genetic Approach to Epidemiology
Chapter 3 Role of Mathematical Models in Physiology and Pathology
Chapter 4 Machine-Learned Regression Assessment of the HIV Epidemiological Development in Asian Region
Chapter 5 Mathematical Modeling to Find the Potential Number of Ways to Distribute Certain Things to Certain Places in Medical Field
Chapter 6 Fractional SIRI Model with Delay in Context of the Generalized Liouville–Caputo Fractional Derivative
Chapter 7 Optimal Control of a Nipah Virus Transmission Model
Chapter 8 Application of Eternal Domination in Epidemiology
Chapter 9 Numerical Analysis of Coupled Time-Fractional Differential Equations Arising in Epidemiological Models
Chapter 10 Balancing of Nitrogen Mass Cycle for Healthy Living Using Mathematical Model
Chapter 11 Neutralizing of Nitrogen when the Changes of Nitrogen Content Is Rapid
Chapter 12 Application of Blockchain Technology in Hospital Information System
Chapter 13 Complexity Analysis of Pathogenesis of Coronavirus Epidemiological Spread in the China Region
Chapter 14 A Mathematical Fractional Model to Study the Hepatitis B Virus Infection
Chapter 15 Nonlinear Dynamics of SARS-CoV2 Virus: India and Its Government Policy
Chapter 16 Ethical and Professional Issues in Epidemiology
Chapter 17 Cloud Virtual Image Security for Medical Data Processing
Chapter 18 Medical Data Security Using Blockchain and Machine Learning in Cloud Computing
Chapter 19 Mathematical Model to Avoid Delay Wound Healing by Infinite Element Method
Chapter 20 Data Classification Framework for Medical Data through Machine Learning Techniques
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