ArticleAdvances in difference equations2020
Modeling the effect of delay strategy on transmission dynamics of HIV/AIDS disease.
Article in Advances in difference equations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Analyses of an age structure HIV/AIDS compartmental model with optimal control theory.Scientific reports · 2025Article
- Data-driven analysis of the effect of screening and treatment on the spread of HIV in developing and developed countries.Frontiers in public health · 2024Article
- A Higher-Order Galerkin Time Discretization and Numerical Comparisons for Two Models of HIV Infection.Computational and mathematical methods in medicine · 2022Article
- Fractional Dynamics of HIV with Source Term for the Supply of New CD4Molecules (Basel, Switzerland) · 2021Article
- An analysis of a nonlinear susceptible-exposed-infected-quarantine-recovered pandemic model of a novel coronavirus with delay effect.Results in physics · 2021Article
- Identification of dominant risk factor involved in spread of COVID-19 using hesitant fuzzy MCDM methodology.Results in physics · 2021Article
- Epidemiological Characteristics and Transmissibility of Human Immunodeficiency Virus in Nanning City, China, 2001-2020.Frontiers in public health · 2021Article
- Modeling the transmission dynamics of delayed pneumonia-like diseases with a sensitivity of parameters.Advances in difference equations · 2021Article
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Authors and funding
7 authors.
Funding
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Abstract
In this manuscript, we investigate a nonlinear delayed model to study the dynamics of human-immunodeficiency-virus in the population. For analysis, we find the equilibria of a susceptible-infectious-immune system with a delay term. The well-established tools such as the Routh-Hurwitz criterion, Volterra-Lyapunov function, and Lasalle invariance principle are presented to investigate the stability of the model. The reproduction number and sensitivity of parameters are investigated. If the delay tactics are decreased, then the disease is endemic. On the other hand, if the delay tactics are increased then the disease is controlled in the population. The effect of the delay tactics with subpopulations is investigated. More precisely, all parameters are dependent on delay terms. In the end, to give the strength to a theoretical analysis of the model, a computer simulation is presented.
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