ArticleFrontiers in microbiology2015
Ebola virus infection modeling and identifiability problems.
Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 72 citations in OpenAlex.
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- Phosphatidylserine clustering by the Ebola virus matrix protein is a critical step in viral budding.EMBO reports · 2022Article
- Mechanisms of phosphatidylserine influence on viral production: A computational model of Ebola virus matrix protein assembly.The Journal of biological chemistry · 2022Article
- Comparative study of SARS-CoV-2 infection in different cell types: Biophysical-computational approach to the role of potential receptors.Computers in biology and medicine · 2022Article
- Dynamical Differences in Respiratory Syncytial Virus.Bulletin of mathematical biology · 2021Article
- Controlling of pandemic COVID-19 using optimal control theory.Results in physics · 2021Article
- Dynamical characterization of antiviral effects in COVID-19.Annual reviews in control · 2021Article
- Human Organs-on-Chips for Virology.Trends in microbiology · 2020Review
- Quantification of Ebola virus replication kinetics in vitro.PLoS computational biology · 2020Article
- Article
- In-host Mathematical Modelling of COVID-19 in Humans.Annual reviews in control · 2020Article
- Characterization of SARS-CoV-2 dynamics in the host.Annual reviews in control · 2020Article
- Assessing parameter identifiability in compartmental dynamic models using a computational approach: application to infectious disease transmission models.Theoretical biology & medical modelling · 2019Article
- Multiscale model within-host and between-host for viral infectious diseases.Journal of mathematical biology · 2018Article
- High-resolution epidemic simulation using within-host infection and contact data.BMC public health · 2018Article
- Ebola virus secreted glycoprotein decreases the anti-viral immunity of macrophages in early inflammatory responses.Cellular immunology · 2018Article
- Mathematical Analysis of Viral Replication Dynamics and Antiviral Treatment Strategies: From Basic Models to Age-Based Multi-Scale Modeling.Frontiers in microbiology · 2018Review
- Mathematical modeling and quantitative analysis of HIV-1 Gag trafficking and polymerization.PLoS computational biology · 2017Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The recent outbreaks of Ebola virus (EBOV) infections have underlined the impact of the virus as a major threat for human health. Due to the high biosafety classification of EBOV (level 4), basic research is very limited. Therefore, the development of new avenues of thinking to advance quantitative comprehension of the virus and its interaction with the host cells is urgently needed to tackle this lethal disease. Mathematical modeling of the EBOV dynamics can be instrumental to interpret Ebola infection kinetics on quantitative grounds. To the best of our knowledge, a mathematical modeling approach to unravel the interaction between EBOV and the host cells is still missing. In this paper, a mathematical model based on differential equations is used to represent the basic interactions between EBOV and wild-type Vero cells in vitro. Parameter sets that represent infectivity of pathogens are estimated for EBOV infection and compared with influenza virus infection kinetics. The average infecting time of wild-type Vero cells by EBOV is slower than in influenza infection. Simulation results suggest that the slow infecting time of EBOV could be compensated by its efficient replication. This study reveals several identifiability problems and what kind of experiments are necessary to advance the quantification of EBOV infection. A first mathematical approach of EBOV dynamics and the estimation of standard parameters in viral infections kinetics is the key contribution of this work, paving the way for future modeling works on EBOV infection.
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