ArticleScientific reports2017
Duration of SHIV production by infected cells is not exponentially distributed: Implications for estimates of infection parameters and antiviral efficacy.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 43 citations in OpenAlex.
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- The reproduction number and its probability distribution for stochastic viral dynamics.Journal of the Royal Society, Interface · 2024Article
- The effect of random virus failure following cell entry on infection outcome and the success of antiviral therapy.Scientific reports · 2023Article
- Monkeypox: a review of epidemiological modelling studies and how modelling has led to mechanistic insight.Epidemiology and infection · 2023Review
- Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: Parameter estimates, identifiability, sensitivity and the eclipse phase profile.Journal of theoretical biology · 2023Article
- Numerical methods and hypoexponential approximations for gamma distributed delay differential equations.IMA journal of applied mathematics · 2022Article
- Mathematical modelling of SARS-CoV-2 infection of human and animal host cells reveals differences in the infection rates and delays in viral particle production by infected cells.Journal of theoretical biology · 2021Article
- Dynamical Differences in Respiratory Syncytial Virus.Bulletin of mathematical biology · 2021Article
- Mechanistic Modeling of SARS-CoV-2 and Other Infectious Diseases and the Effects of Therapeutics.Clinical pharmacology and therapeutics · 2021Review
- Quantification of Ebola virus replication kinetics in vitro.PLoS computational biology · 2020Article
- Initial Inoculum and the Severity of COVID-19: A Mathematical Modeling Study of the Dose-Response of SARS-CoV-2 Infections.Epidemiologia (Basel, Switzerland) · 2020Article
- The turning point and end of an expanding epidemic cannot be precisely forecast.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Modeling the efficiency of filovirus entry into cells in vitro: Effects of SNP mutations in the receptor molecule.PLoS computational biology · 2020Article
- Article
- The rate of viral transfer between upper and lower respiratory tracts determines RSV illness duration.Journal of mathematical biology · 2019Article
- Uncovering critical properties of the human respiratory syncytial virus by combining in vitro assays and in silico analyses.PloS one · 2019Article
- Investigating Different Mechanisms of Action in Combination Therapy for Influenza.Frontiers in pharmacology · 2018Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The duration of the eclipse phase, from cell infection to the production and release of the first virion progeny, immediately followed by the virus-production phase, from the first to the last virion progeny, are important steps in a viral infection, by setting the pace of infection progression and modulating the response to antiviral therapy. Using a mathematical model (MM) and data for the infection of HSC-F cells with SHIV in vitro, we reconfirm our earlier finding that the eclipse phase duration follows a fat-tailed distribution, lasting 19 h (18-20 h). Most importantly, for the first time, we show that the virus-producing phase duration, which lasts 11 h (9.8-12 h), follows a normal-like distribution, and not an exponential distribution as is typically assumed. We explore the significance of this finding and its impact on analysis of plasma viral load decays in HIV patients under antiviral therapy. We find that incorrect assumptions about the eclipse and virus-producing phase distributions can lead to an overestimation of antiviral efficacy. Additionally, our predictions for the rate of plasma HIV decay under integrase inhibitor therapy offer an opportunity to confirm whether HIV production duration in vivo also follows a normal distribution, as demonstrated here for SHIV infections in vitro.
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