ArticleJournal of mathematical biology2018
A reaction-diffusion within-host HIV model with cell-to-cell transmission.
Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Impact of incubation and gestation periods on the dynamics of a spatially heterogeneous eco-epidemiological model.Scientific reports · 2025Article
- Incorporating Intracellular Processes in Virus Dynamics Models.Microorganisms · 2024Review
- Global dynamics of a time-delayed nonlocal reaction-diffusion model of within-host viral infections.Journal of mathematical biology · 2024Article
- Qualitative analysis of a reaction-diffusion SIRS epidemic model with nonlinear incidence rate and partial immunity.Infectious Disease Modelling · 2023Article
- Spatial and temporal dynamics of SARS-CoV-2: Modeling, analysis and simulation.Applied mathematical modelling · 2023Article
- Spatial dynamics of a viral infection model with immune response and nonlinear incidence.Zeitschrift fuer angewandte mathematik und physik · 2023Article
- Dynamics of HIV-1/HTLV-I Co-Infection Model with Humoral Immunity and Cellular Infection.Viruses · 2022Article
- Stability analysis of within-host SARS-CoV-2/HIV coinfection model.Mathematical methods in the applied sciences · 2022Article
- Global analysis of within-host SARS-CoV-2/HIV coinfection model with latency.European physical journal plus · 2022Article
- Dynamics of a reaction-diffusion SIRS model with general incidence rate in a heterogeneous environment.Zeitschrift fuer angewandte mathematik und physik · 2022Article
- A diffusive virus model with a fixed intracellular delay and combined drug treatments.Journal of mathematical biology · 2021Article
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Authors and funding
4 authors.
Funding
Abstract
In this paper, a reaction-diffusion within-host HIV model is proposed. It incorporates cell mobility, spatial heterogeneity and cell-to-cell transmission, which depends on the diffusion ability of the infected cells. In the case of a bounded domain, the basic reproduction number [Formula: see text] is established and shown as a threshold: the virus-free steady state is globally asymptotically stable if [Formula: see text] and the virus is uniformly persistent if [Formula: see text]. The explicit formula for [Formula: see text] and the global asymptotic stability of the constant positive steady state are obtained for the case of homogeneous space. In the case of an unbounded domain and [Formula: see text], the existence of the traveling wave solutions is proved and the minimum wave speed [Formula: see text] is obtained, providing the mobility of infected cells does not exceed that of the virus. These results are obtained by using Schauder fixed point theorem, limiting argument, LaSalle's invariance principle and one-side Laplace transform. It is found that the asymptotic spreading speed may be larger than the minimum wave speed via numerical simulations. However, our simulations show that it is possible either to underestimate or overestimate the spread risk [Formula: see text] if the spatial averaged system is used rather than one that is spatially explicit. The spread risk may also be overestimated if we ignore the mobility of the cells. It turns out that the minimum wave speed could be either underestimated or overestimated as long as the mobility of infected cells is ignored.
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