Numerical Modeling of Fractional-Order Biological Systems

Author

Rihan, Fathalla A.

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-08-07

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Mathematics

Abstract EN

We provide a class of fractional-order differential models of biological systems with memory, such as dynamics of tumor-immune system and dynamics of HIV infection of CD4+ T cells.

Stability and nonstability conditions for disease-free equilibrium and positive equilibria are obtained in terms of a threshold parameter ℛ0 (minimum infection parameter) for each model.

We provide unconditionally stable method, using the Caputo fractional derivative of order α and implicit Euler’s approximation, to find a numerical solution of the resulting systems.

The numerical simulations confirm the advantages of the numerical technique and using fractional-order differential models in biological systems over the differential equations with integer order.

The results may give insight to infectious disease specialists.

American Psychological Association (APA)

Rihan, Fathalla A.. 2013. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-500430

Modern Language Association (MLA)

Rihan, Fathalla A.. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-500430

American Medical Association (AMA)

Rihan, Fathalla A.. Numerical Modeling of Fractional-Order Biological Systems. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-500430

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-500430