ArticleChaos, solitons, and fractals2020
Modeling the dynamics of viral infections in presence of latently infected cells.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 33 citations in OpenAlex.
- Fractional caputo modeling of delayed disease dynamics: sensitivity analysis and control strategies incorporating environmental influences.Scientific reports · 2026Article
- A nonlinear mathematical model on the Covid-19 transmission pattern among diabetic and non-diabetic population.Mathematics and computers in simulation · 2023Article
- Behavioral response of population on transmissibility and saturation incidence of deadly pandemic through fractional order dynamical system.Results in physics · 2021Article
- How relevant is the decision of containment measures against COVID-19 applied ahead of time?Chaos, solitons, and fractals · 2020Article
- Modeling and forecasting the spread tendency of the COVID-19 in China.Advances in difference equations · 2020Article
- Dynamics of an HIV model with cytotoxic T-lymphocyte memory.Advances in difference equations · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The study aims to develop a new mathematical model in order to explain the dynamics of viral infections in vivo such as HIV infection. The model includes three classes of cells, takes into account the cure of infected cells in latent period and also incorporates three modes of transmission. The mention modes are modeled by three general incidence functions covering several special cases available in the literature. The basic properties of the model as well as its stability analysis have been carried out rigorously. Further, an application is given and also numerical simulation results have been incorporated supporting the analytical results.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.