Taofeek Alade

Mr. Taofeek Alade

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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2023 in Modeling Earth Systems and Environment
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Journal Article
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TATaofeek Alade
Taofeek Alade
MAMohammad Alnegga
Mohammad Alnegga
SOSamson Olaniyi
Samson Olaniyi
AAAfeez Abidemi
Afeez Abidemi

1 January 2018 in Journal of Biological Dynamics
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Journal Article
Open access
AEAhmed Elaiw
Ahmed Elaiw
TATaofeek Alade
Taofeek Alade
Saud M. AlsulamiSaud M. Alsulami
Saud M. Alsulami
In this paper, we study the stability analysis of latent Chikungunya virus (CHIKV) dynamics models. The incidence rate between the CHIKV and the uninfected monocytes is modelled by a general nonlinear function which satisfies a set of conditions. The model is incorporated by intracellular discrete or distributed time delays. Using the method of Lyapunov function, we established the global stability of the steady states of the models. The theoretical results are confirmed by numerical simulations.

23 August 2021 in The European Physical Journal Plus
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TATaofeek Alade
Taofeek Alade
SGShafeek A. Ghaleb
Shafeek A. Ghaleb
SASaud M. Alsulami
Saud M. Alsulami

19 November 2020 in International Journal of Dynamics and Control
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TATaofeek Alade
Taofeek Alade

18 July 2020 in Journal of Applied Mathematics and Computing
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TATaofeek Alade
Taofeek Alade
AEAhmed M. Elaiw
Ahmed M. Elaiw
SASaud M. Alsulami
Saud M. Alsulami

10 July 2018 in Mathematics
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AEAhmed Elaiw
Ahmed Elaiw
TATaofeek Alade
Taofeek Alade
Saud M. AlsulamiSaud M. Alsulami
Saud M. Alsulami
In this paper, we study the stability analysis of two within-host virus dynamics models with antibody immune response. We assume that the virus infects n classes of target cells. The second model considers two types of infected cells: (i) latently infected cells; and (ii) actively infected cells that produce the virus particles. For each model, we derive a biological threshold number R0. Using the method of Lyapunov function, we establish the global stability of the steady states of the models. The theoretical results are confirmed by numerical simulations.