Global Exponential Stability of a Delayed HIV Infection Model with a Nonlinear Incidence Rate | Zendy

Zhiwen Long | Zendy

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Global Exponential Stability of a Delayed HIV Infection Model with a Nonlinear Incidence Rate

Author(s) -

Zhiwen Long

Publication year - 2021

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2021/8886322

Subject(s) - exponential stability , basic reproduction number , stability (learning theory) , exponential growth , human immunodeficiency virus (hiv) , exponential function , nonlinear system , mathematics , incidence (geometry) , range (aeronautics) , control theory (sociology) , physics , medicine , mathematical analysis , virology , computer science , materials science , control (management) , population , geometry , environmental health , quantum mechanics , composite material , machine learning , artificial intelligence

Under the assumption that there is a time delay between the time target cells are contacted by the virus particles and the time the contacted cells become actively infected, we investigate the exponential stability of the noninfected equilibrium for a delayed HIV infection model with a nonlinear incidence rate. Compared with the global asymptotic stability analysis based on basic reproduction number, exponential stability analysis reveals the change range of various cells in different time periods.

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