Mathematical Analysis of Infectious Diseases
eBook - ePub

Mathematical Analysis of Infectious Diseases

  1. 344 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Mathematical Analysis of Infectious Diseases

About this book

Mathematical Analysis of Infectious Diseases updates on the mathematical and epidemiological analysis of infectious diseases. Epidemic mathematical modeling and analysis is important, not only to understand disease progression, but also to provide predictions about the evolution of disease. One of the main focuses of the book is the transmission dynamics of the infectious diseases like COVID-19 and the intervention strategies. It also discusses optimal control strategies like vaccination and plasma transfusion and their potential effectiveness on infections using compartmental and mathematical models in epidemiology like SI, SIR, SICA, and SEIR. The book also covers topics like: biodynamic hypothesis and its application for the mathematical modeling of biological growth and the analysis of infectious diseases, mathematical modeling and analysis of diagnosis rate effects and prediction of viruses, data-driven graphical analysis of epidemic trends, dynamic simulation and scenario analysis of the spread of diseases, and the systematic review of the mathematical modeling of infectious disease like coronaviruses. - Offers analytical and numerical techniques for virus models - Discusses mathematical modeling and its applications in treating infectious diseases or analyzing their spreading rates - Covers the application of differential equations for analyzing disease problems - Examines probability distribution and bio-mathematical applications

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Yes, you can access Mathematical Analysis of Infectious Diseases by Praveen Agarwal,Juan J. Nieto,Delfim F.M. Torres in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biology. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2022
Print ISBN
9780323905046
eBook ISBN
9780323904582
Topic
Biological Sciences
Subtopic
Biology
Index
Biological Sciences

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Contributors
  7. Preface
  8. Chapter 1 Spatiotemporal dynamics of the first wave of the COVID-19 epidemic in Brazil
  9. Chapter 2 Transport and optimal control of vaccination dynamics for COVID-19
  10. Chapter 3 COVID-19's pandemic: a new way of thinking through linear combinations of proportions
  11. Chapter 4 Stochastic SICA epidemic model with jump Lévy processes
  12. Chapter 5 Examining the correlation between the weather conditions and COVID-19 pandemic in Galicia
  13. Chapter 6 A fractional-order malaria model with temporary immunity
  14. Chapter 7 Parameter identification in epidemiological models
  15. Chapter 8 Lyapunov functions and stability analysis of fractional-order systems
  16. Chapter 9 Some key concepts of mathematical epidemiology
  17. Chapter 10 Analytical solutions and parameter estimation of the SIR epidemic model
  18. Chapter 11 Global stability of a diffusive SEIR epidemic model with distributed delay
  19. Chapter 12 Application of fractional order differential equations in modeling viral disease transmission
  20. Chapter 13 Role of immune effector responses during HCV infection: a mathematical study: Role of immune effector responses during HCV infection
  21. Chapter 14 Modeling the impact of isolation during an outbreak of Ebola virus
  22. Chapter 15 Application of the stochastic arithmetic to validate the results of nonlinear fractional model of HIV infection for CD8+T-cells
  23. Chapter 16 Existence of solutions of modified fractional integral equation models for endemic infectious diseases
  24. Chapter 17 Numerical solution of a fractional epidemic model via general Lagrange scaling functions with bibliometric analysis
  25. Index