Epidemiological Modeling with Application to Covid-19 presents information about statistical, numerical, stability, and 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. 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.
This book provides in-depth analysis of the spread of Covid-19, including discussion of theoretical and numerical results, including a novel modeling method called strength numbers that was created under the umbrella of acceleration, which provides a determiner of the power of disease spread. These significant characteristics might be the key to understanding and anticipating the spread of infections and diseases more generally.
This book provides in-depth analysis of the spread of Covid-19, including discussion of theoretical and numerical results, including a novel modeling method called strength numbers that was created under the umbrella of acceleration, which provides a determiner of the power of disease spread. These significant characteristics might be the key to understanding and anticipating the spread of infections and diseases more generally.
Table of Contents
1. History and Data Collection of Covid-192. Statistical Analysis of Collected Data
3. Nonlocal Operators and Their Properties
4. A New Mathematical Model of Covid-19 Spread with 9 Classes: Application to Cameroon Case
5. A SCIRD Mathematical Model of Covid-19 Spread with A Lockdown Functions Applications to Russia Case
6. Mathematical Model of Covid-19 Spread with Super-spreaders and Hospitalized Classes: Application to South Africa Case
7. A Covid-19 Spread Model with Two Stages Piecewise Lockdown Function: Application to Turkey case
8. A SEIARP Model of Covid-19: Application to Italy Case
9. A SEIAQPHR Model of Coronavirus Transmission: Application to Ukraine Case
10. A Mathematical Model with Exposed and Quarantined Classes: Application to Nigeria Case
11. Mathematical Model of Covid-19 Transmission Including a Closely Observed Population: Application to Morocco Case
12. A New Mathematical Model with Two Susceptible and Two Infected Classes: Application to Azerbaijan Case