Advances in Epidemiological Modeling and Control of Viruses
eBook - ePub

Advances in Epidemiological Modeling and Control of Viruses

  1. 390 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Advances in Epidemiological Modeling and Control of Viruses

About this book

Advances in Epidemiological Modeling and Control of Viruses covers recent and advanced research works in the field of epidemiological modeling, with special emphasis on new strategies to control the occurrence and reoccurrence of viruses. The models included in this book can be used to study the dynamics of different viruses, searching for control measures, and epidemic models under various effects and environments. This book covers different models and methods of modeling, including data-driven approaches. The authors and editors are experienced researchers, and each chapter has been designed to provide readers with leading-edge information on topics discussed. - Includes models to describe global and local dynamics of various viruses - Provides readers with control strategies for occurrence and reoccurrence of viruses - Includes epidemic models under various effects and environments - Provides readers with a robust set of mathematical tools and techniques for epidemiological modeling

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Yes, you can access Advances in Epidemiological Modeling and Control of Viruses by Hemen Dutta,Khalid Hattaf in PDF and/or ePUB format, as well as other popular books in Medicine & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Advances in Epidemiological Modeling and Control of Viruses
  2. Cover
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Contributors
  7. Preface
  8. 1 Global dynamics of a delayed reaction-diffusion viral infection in a cellular environment
  9. 1.2: Global convergence to the homogeneous solution
  10. 1.3: Numerical simulations
  11. 1.3.1: Example 1
  12. 2 Hepatitis B virus transmission via epidemic model
  13. 2.3: Stability analysis
  14. 2.4: Simulation and concluding remarks
  15. References
  16. 3 Global dynamics of an HCV model with full logistic terms and the host immune system
  17. 3.5.2: Local and global stability analysis
  18. 3.6: Numerical simulations
  19. 3.7: Conclusion and discussion
  20. 4 On a Novel SVEIRS Markov chain epidemic model with multiple discrete delays and infection rates: modeling and sensitivity analysis to determine vaccination effects
  21. 4.4: The SVEIRS stochastic process
  22. 4.5: Some special SVEIRS epidemic models
  23. 4.6: Numerical study: some prototype SVEIRS epidemic models and sensitivity analysis to determine the effects of infection and vaccination
  24. 4.6.1: The general algorithm for the simulations
  25. 5 Hopf bifurcation in an SIR epidemic model with psychological effect and distributed time delay
  26. 5.3: Direction of bifurcation and stability of periodic solution
  27. 5.4: Example: a truncated exponential distribution
  28. 5.5: Numerical simulation
  29. 6 Modeling of the effects of media in the course of vaccination of rotavirus
  30. 6.1: Introduction
  31. 7 Mathematical models of early stage Covid-19 transmission in Sri Lanka
  32. 7.3: Mathematical models with heterogeneity of cases
  33. 7.3.1: Analysis of the model
  34. 8 Global stability of a diffusive HTLV-I infection model with mitosis and CTL immune response
  35. 8.2: Model formulation
  36. 8.3: Well-posedness of solutions
  37. 9 Mathematical tools and their applications in dengue epidemic data analytics
  38. 9.1: Introduction
  39. 10 Covid-19 pandemic model: a graph theoretical perspective
  40. 10.1: Introduction
  41. 11 Towards nonmanifest chaos and order in biological structures by means of the multifractal paradigm
  42. 11.1: Introduction
  43. 12 Global stability of epidemic models under discontinuous treatment strategy
  44. 12.1.4: Global convergence in finite time
  45. 12.3: Global stability of an SEIR epidemic model with infectious force in latent period and infected period under discontinuous treatment strategy
  46. 12.3.1: Introduction
  47. Index