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Book synopsis

Epidemiological Modeling with Application to Covid-19 presents information about statistical, numerical, stability, and some theoretical analyses for nine different Covid-19 models. Those models are considered with classical and fractional derivatives, which is a generalization of the classical analysis. The authors present their newly introduced rate indicator function for the prediction of the waves of Covid-19 spread. Moreover, future prediction of Covid-19 spread is presented for some countries. Epidemiological Modeling with Application to Covid-19 provides in-depth analysis of the spread of Covid-19, including discussion of theoretical and numerical results. The book presents a novel modeling method called strength numbers, created under the umbrella of acceleration, which provides a determiner of the power of disease spread. The authors also provide a new approach to modeling epidemiological issues in general, which has been tested against the spread of COVID-19 in several nations. These significant characteristics might be the key to understanding and anticipating the spread of infections and diseases more generally. Provides in-depth analysis of the spread of Covid-19, including discussion of theoretical and numerical results Introduces a new concept called the rate indicator function for a new perspective on the spread of virological disease in epidemiology Presents a novel modeling method called strength numbers, created under the umbrella of acceleration, which provides a determiner of the power of disease spread Provides a new approach to developing mathematical equations that may be used to show how an infectious disease spreads using the available starting data

Book details

Book category Books in English Medicine Medicine: general issues Medical bioinformatics

• Full title: Epidemiological Modeling with Application to Covid-19
• Author: Abdon Atangana, Seda Igret Araz
• Language: English
• Binding: Paperback
• Number of pages: 400
• EAN: 9780443238673
• ISBN: 0443238677
• ID: 43836945
• Date of publishing: 01. January 2024

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