Modeling Cell-to-Cell Spread of HIV-1 with Nonlocal Infections

Joint Authors

Zhao, Wencai
Fan, Xiaoting
Song, Yi

Source

Complexity

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-01

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Philosophy

Abstract EN

This paper is devoted to develop a nonlocal and time-delayed reaction-diffusion model for HIV infection within host cell-to-cell viral transmissions.

In a bounded spatial domain, we study threshold dynamics in terms of basic reproduction number R0 for the heterogeneous model.

Our results show that if R0<1, the infection-free steady state is globally attractive, implying infection becomes extinct, while if R0>1, virus will persist in the host environment.

American Psychological Association (APA)

Fan, Xiaoting& Song, Yi& Zhao, Wencai. 2018. Modeling Cell-to-Cell Spread of HIV-1 with Nonlocal Infections. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133154

Modern Language Association (MLA)

Fan, Xiaoting…[et al.]. Modeling Cell-to-Cell Spread of HIV-1 with Nonlocal Infections. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1133154

American Medical Association (AMA)

Fan, Xiaoting& Song, Yi& Zhao, Wencai. Modeling Cell-to-Cell Spread of HIV-1 with Nonlocal Infections. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1133154

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1133154