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.
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Table of Contents
1. Global dynamics of a delayed reaction-diffusion viral infection in a cellular environment
2.�Hepatitis B virus transmission via epidemic model with treatment function
3. Global dynamics of an HCV model with full logistic terms and the host immune system
4. On a SVEIRS Markov chain epidemic model with multiple discrete delay times and sensitivity analysis to determine vaccination effects
5. Hopf bifurcation in an SIR epidemic model with psychological effect and distributed time delay
6. Modelling of the effects of media in the course of vaccination of rotavirus
7. Mathematical Models of Early Stage COVID-19 Transmission in Sri Lanka
8. Global stability of a diffusive HTLV-I infection model with mitosis and CTL immune response
9. Introducing Decision Support Mathematical Tools
10. COVID-19 pandemic model: A graph theoretical perspective
11. Towards nonmanifest chaos and order in biological structures, by means of the multifractal paradigm
12. Global stability of epidemic model under discontinuous treatment strategy
