Methods of Mathematical Modeling: Infectious Diseases presents computational methods related to biological systems and their numerical treatment via mathematical tools and techniques. Edited by renowned experts in the field, Dr. Hari Mohan Srivastava, Dr. Dumitru Baleanu, and Dr. Harendra Singh, the book examines advanced numerical methods to provide global solutions for biological models. These results are important for medical professionals, biomedical engineers, mathematicians, scientists and researchers working on biological models with real-life applications. The authors deal with methods as well as applications, including stability analysis of biological models, bifurcation scenarios, chaotic dynamics, and non-linear differential equations arising in biology.

The book focuses primarily on infectious disease modeling and computational modeling of other real-world medical issues, including COVID-19, smoking, cancer and diabetes. The book provides the solution of these models so as to provide actual remedies.

Includes mathematical modeling for a variety of infectious diseases and disease processes, including SIR/SIRA, COVID-19, cancer, smoking and diabetes
Offers a complete and foundational understanding of modeling algorithms and techniques such as stability analysis, bifurcation scenarios, chaotic dynamics, and non-linear differential equations
Provides readers with datasets for applied learning of the various algorithms and modeling techniques

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.

At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.

Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.

We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.

Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.

Yes, you can access Methods of Mathematical Modelling by Harendra Singh,Hari M Srivastava,Dumitru Baleanu in PDF and/or ePUB format, as well as other popular books in Biological Sciences & Biotechnology. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2022

ISBN

9780323999472

Topic

Biological Sciences

Subtopic

Biotechnology

Index

Biological Sciences

Cover image
Title page
Table of Contents
Copyright
Contributors
1: Epidemic theory: Studying the effective and basic reproduction numbers, epidemic thresholds and techniques for the analysis of infectious diseases with particular emphasis on tuberculosis
2: Numerical methods applied to a class of SEIR epidemic models described by the Caputo derivative
3: Mathematical model and interpretation of crowding effects on SARS-CoV-2 using Atangana-Baleanu fractional operator
4: Analysis for modified fractional epidemiological model for computer viruses
5: Analysis of e-cigarette smoking model by a novel technique
6: Stability analysis of an unhealthy diet model with the effect of antiangiogenesis treatment
7: Analysis of the spread of infectious diseases with the effects of consciousness programs by media using three fractional operators
8: Modeling and analysis of computer virus fractional order model
9: Stochastic analysis and disease transmission
10: Analysis of the Adomian decomposition method to estimate the COVID-19 pandemic
11: Study of a COVID-19 mathematical model
Index