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  • COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism

    COVID Transmission Modeling by Basavarajaiah, DM; Murthy, B Narasimha;

    An Insight into Infectious Diseases Mechanism

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 160.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        76 440 Ft (72 800 Ft + 5% VAT)
      • Discount 20% (cc. 15 288 Ft off)
      • Discounted price 61 152 Ft (58 240 Ft + 5% VAT)

    76 440 Ft

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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 Chapman and Hall
    • Date of Publication 28 June 2022

    • ISBN 9781032069708
    • Binding Hardback
    • No. of pages384 pages
    • Size 254x178 mm
    • Weight 798 g
    • Language English
    • Illustrations 171 Illustrations, black & white; 29 Halftones, black & white; 142 Line drawings, black & white; 103 Tables, black & white
    • 274

    Categories

    Short description:

    This book will explore and formulate new mathematical/statistical and epidemiological modelling based on the research findings. It covers all the aspects of mitigation, estimation of transmission rate, control measures, economic impact assessment, genetic complexity of COVID and herd immunity.

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    Long description:

    COVID Transmission Modeling: An Insight into Infectious Diseases Mechanism provides an interdisciplinary overview of the COVID-19 pandemic crisis and covers various aspects of newer modeling techniques and practical solutions for health emergencies. This book aims to formulate various innovative and pragmatic mathematical, statistical, and epidemiological models using COVID-19 real data sets. It emphasizes interdisciplinary theoretical postulates derived from practical insights and knowledge of public health. Each of the book’s 12 chapters provides invaluable and exploratory tools to enable explicit assumptions, highlights key health indicators, and determines the geometric progression and control measures of the disease. The present developed models will allow readers to extrapolate the exact reason for the outbreak and pave the way for scientific information on vaccine trials and socioeconomic, psychological, and disease burden worldwide. These advanced techniques of modeling and their applications are in greater need than ever for effective connection between mathematicians, statisticians, epidemiologists, researchers, clinicians, and policymakers for making appropriate decisions at the right time. With the advent of emerging health science, all models are demonstrated with real-life data sets and provided with illustrations and eye-catching graphs and diagrams so that the readers can easily understand the concept of COVID-19 pandemic interventions and their control measures, and their impact.


    Features



    • Addresses all aspects of mitigation/control measures, estimation of transmission rate, economic impact assessment, genetic complexity of COVID-19, herd immunity, and various methods, including newer mathematical, statistical, and epidemiological models in the analysis of COVID-19 pandemic outbreak

    • Covers the application of innovative, advanced statistical and epidemiological models and demonstrates possible solutions toward supportive treatment aspects of COVID-19 and its control measures

    • Includes models that can easily be followed in formulating the mathematical derivations and key points

    • Supplemented with ample illustrations, images, diagrams, and figures

    This book is aimed at postgraduate students studying medicine and healthcare, mathematics, and statistical information. Researchers will also find this book very helpful.

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    Table of Contents:

    1. Mathematical Modeling Approach to COVID-19: Vetted Real Data.


    2. Time Series Stochastic Projection Models for the Estimation of COVID Trend


    3. Study of Anxiety and Fear of COVID-19


    4. COVID-19 Gene Sequencing Modeling


    5. Real-Time PCR (RT-PCR) for COVID-19 Diagnosis and Changes in Threshold Cycle (Ct) in Association with Different Parameters


    6. COVID-19 Vaccination Modeling Approach to Public Health Policy


    7. Trend of COVID-19 Surge Projection


    8. Risk Analysis of COVID-19—Vetted by Real Data Sets


    9. Data-Driven Decision Support Model for COVID-19


    10. Age-Specific SARS-Cov-19 Incidence Modeling


    11. National Health Policies and Their Perspectives on the Approach to Control COVID-19 and Other Infectious Diseases


    12. Statistical Ethics for Computational Biology and Medical Science

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