Mathematical and Computational Modelling of Covid-19 Transmission
eBook - ePub

Mathematical and Computational Modelling of Covid-19 Transmission

  1. 306 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mathematical and Computational Modelling of Covid-19 Transmission

About this book

Infectious diseases are leading threats and are of highest risk to the human population globally. Over the last two years, we saw the transmission of Covid-19. Millions of people died or were forced to live with a disability. Mathematical models are effective tools that enable analysis of relevant information, simulate the related process and evaluate beneficial results. They can help to make rational decisions to lead toward a healthy society. Formulation of mathematical models for a pollution-free environment is also very important for society. To determine the system which can be modelled, we need to formulate the basic context of the model underlying some necessary assumptions. This describes our beliefs in terms of the mathematical language of how the world functions.

This book addresses issues during the Covid phase and post-Covid phase. It analyzes transmission, impact of coinfections, and vaccination as a control or to decrease the intensity of infection. It also talks about the violence and unemployment problems occurring during the post-Covid period. This book will help societal stakeholders to resume normality slowly and steadily.

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Yes, you can access Mathematical and Computational Modelling of Covid-19 Transmission by Mandeep Mittal,Nita H. Shah in PDF and/or ePUB format, as well as other popular books in Computer Science & Infectious Diseases. We have over one million books available in our catalogue for you to explore.

Information

Publisher
River Publishers
Year
2023
Print ISBN
9788770228312
eBook ISBN
9781003807155
Edition
1
Topic
Computer Science
Subtopic
Infectious Diseases
Index
Computer Science

Table of contents

  1. Cover Page
  2. Half Title Page
  3. Series Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. List of Figures
  8. List of Tables
  9. List of Contributors
  10. List of Abbreviations
  11. 1 Mathematical Modelling of COVID-19 Dynamics with Reinfection Using Fractional Order
  12. 2 Stability Analysis of Caputoā€“Fabrizio Fractional-order Epidemic Model of a Novel Coronavirus (COVID-19)
  13. 3 Impact of Vaccination on COVID-19 to Control its Spread: A Case Study of India
  14. 4 A Computational Approach for Regulation of Biomedical Waste Expulsion in a Novel Coronavirus Pandemic
  15. 5 Solution for Fractional-order Pneumoniaā€“COVID-19 Co-infection
  16. 6 Optimal Control to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model
  17. 7 Effectiveness of a Booster Dose of COVID-19 Vaccine
  18. 8 Impact of Post-COVID-19 Pandemic on Quality Education among School and College Students
  19. 9 A Mathematical Model for the Dynamics of the Violence Epidemic Spreading due to Misinformation
  20. 10 Diseased Predatorā€“Prey Model Incorporating Herd Behaviour in Prey: A Study Under an Alternative Food Source Scenario
  21. 11 A COVID-19-related Atanganaā€“Baleanu Fractional Model for Unemployed Youths
  22. 12 A Fractional-order SVIR Model with Two Infection Classes for COVID-19 in India
  23. 13 Forecasting of a COVID-19 Model using LSTM
  24. 14 Simulation of COVID-19 Cases in India using AR and ANN Models
  25. Index
  26. About the Editors