Application and Optimal Control for an HBV Model with Vaccination and Treatment

Joint Authors

Zhang, Suxia
Zhang, Jing

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-09-02

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Mathematics

Abstract EN

In this study, we formulate a model for hepatitis B virus with control strategies of newborn vaccination and treatment.

Mathematical analysis is done theoretically and numerically.

The results indicate that the stability of equilibria and persistence of the disease are determined by the basic reproductive number R0.

Using the least squares method, the model is applied to simulate yearly new infected cases of hepatitis B in China from 2004 to 2016.

Moreover, optimal control problem with newborn vaccination and treatment appearing as functions of time is analyzed by classical optimal theory.

The existence of the solution to optimality system is proved, and the simulations are conducted to show the results when optimal control or current intervention is used.

American Psychological Association (APA)

Zhang, Jing& Zhang, Suxia. 2018. Application and Optimal Control for an HBV Model with Vaccination and Treatment. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1152335

Modern Language Association (MLA)

Zhang, Jing& Zhang, Suxia. Application and Optimal Control for an HBV Model with Vaccination and Treatment. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1152335

American Medical Association (AMA)

Zhang, Jing& Zhang, Suxia. Application and Optimal Control for an HBV Model with Vaccination and Treatment. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1152335

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1152335