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    Mathematical Modeling and Soft Computing in Epidemiology
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      • Publisher's listprice GBP 56.99
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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 4 October 2024

    • ISBN 9780367628499
    • Binding Paperback
    • No. of pages440 pages
    • Size 234x156 mm
    • Weight 453 g
    • Language English
    • Illustrations 155 Illustrations, black & white; 48 Halftones, black & white; 107 Line drawings, black & white; 23 Tables, black & white
    • 651

    Categories

    Short description:

    This book describes the use 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.

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    Long description:

    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.



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    Table of Contents:

    1. Evolutionary Modelling of Dengue Fever with Incubation Period of Virus  


    2. Fuzzy-Genetic Approach to Epidemiology 


    3. Role of Mathematical Models in Physiology and Pathology  


    4. Machine-Learned Regression Assessment of the HIV Epidemiological Development in Asian Region  


    5. Mathematical Modeling to Find the Potential Number of Ways to Distribute Certain Things to Certain Places in Medical Field


    6. Fractional SIRI Model with Delay in Context of the Generalized Liouville-Caputo Fractional Derivative  


    7. Optimal Control of a Nipah Virus Transmission Model


    8. Application of Eternal Domination in Epidemiology  


    9. Numerical Analysis of Coupled Time-Fractional Differential Equations Arising in Epidemiological Models  


    10. Balancing of Nitrogen Mass Cycle for Healthy Living Using Mathematical Model  


    11. Neutralizing of Nitrogen when the Changes of Nitrogen Content Is Rapid  


    12. Application of Blockchain Technology in Hospital Information System  


    13. Complexity Analysis of Pathogenesis of Coronavirus Epidemiology Spread in the China Region  


    14. A Mathematical Fractional Model to Study the Hepatitis B Virus Infection  


    15. Nonlinear Dynamics of SARS-CoV2 Virus: India and Its Government Policy  


    16. Ethical and Professional Issues in Epidemiology  


    17. Cloud Virtual Image Security for Medical Data Processing  


    18. Medical Data Security Using Blockchain and Machine Learning Techniques in Cloud Computing  


    19. Mathematical Model to Avoid Delay Wound Healing by Infinite Element Method  


    20. Data Classification Framework for Medical Data through Machine Learning Techniques in Cloud Computing


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