A termék adatai:
ISBN13: | 9780443238673 |
ISBN10: | 0443238677 |
Kötéstípus: | Puhakötés |
Terjedelem: | 400 oldal |
Súly: | 450 g |
Nyelv: | angol |
700 |
Témakör:
Epidemiological Modeling with Application to Covid-19
Kiadó: Morgan Kaufmann
Megjelenés dátuma: 2024. szeptember 2.
Normál ár:
Kiadói listaár:
EUR 236.99
EUR 236.99
Az Ön ára:
88 014 (83 823 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 9 779 Ft)
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Hosszú leírás:
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.
- 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
Tartalomjegyzék:
1. History and Data Collection of Covid-19
2. 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
2. 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