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Special Issue "Mathematical Modeling of Viral Infections"

A special issue of Viruses (ISSN 1999-4915).

Deadline for manuscript submissions: 15 July 2017

Special Issue Editors

Guest Editor
Prof. John Murray

1. School of Mathematics and Statistics, UNSW Australia, Sydney 2052, Australia
2. Cancer Research Division, Cancer Council NSW, Australia
Website | E-Mail
Interests: mathematical modelling of infectious disease
Guest Editor
Dr. Ruy Ribeiro

Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA
Website | E-Mail
Interests: mathematical modeling of within-host viral infections

Special Issue Information

Dear Colleagues,

Understanding the impact of a viral infection within an individual can be difficult, as the data are often sparse and obtained from sites other than where viruses replicate. Mathematical modelling attempts to piece together the available data, and infer more about the infection than can be directly observed. Within-host viral modelling has provided important information about many infections, including human immunodeficiency virus (HIV), the hepatitis B virus, hepatitis C virus, and influenza.

This Special Issue of Viruses will present articles covering the mathematical modelling of within-host viral dynamics. We encourage submissions describing modelling of all viruses impacting humans.

Prof. John Murray
Dr. Ruy Ribeiro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Viruses is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • within-host viral modelling
  • viral dynamics
  • mathematical modelling
  • in vivo

Published Papers (1 paper)

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Research

Open AccessArticle Understanding the Complex Patterns Observed during Hepatitis B Virus Therapy
Viruses 2017, 9(5), 117; doi:10.3390/v9050117
Received: 17 February 2017 / Revised: 21 April 2017 / Accepted: 2 May 2017 / Published: 19 May 2017
PDF Full-text (18247 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
Data from human clinical trials have shown that the hepatitis B virus (HBV) follows complex profiles, such as bi-phasic, tri-phasic, stepwise decay and rebound. We utilized a deterministic model of HBV kinetics following antiviral therapy to uncover the mechanistic interactions behind HBV dynamics.
[...] Read more.
Data from human clinical trials have shown that the hepatitis B virus (HBV) follows complex profiles, such as bi-phasic, tri-phasic, stepwise decay and rebound. We utilized a deterministic model of HBV kinetics following antiviral therapy to uncover the mechanistic interactions behind HBV dynamics. Analytical investigation of the model was used to separate the parameter space describing virus decay and rebound. Monte Carlo sampling of the parameter space was used to determine the virological, pharmacological and immunological factors that separate the bi-phasic and tri-phasic virus profiles. We found that the level of liver infection at the start of therapy best separates the decay patterns. Moreover, drug efficacy, ratio between division of uninfected and infected cells, and the strength of cytotoxic immune response are important in assessing the amount of liver damage experienced over time and in quantifying the duration of therapy leading to virus resolution in each of the observed profiles. Full article
(This article belongs to the Special Issue Mathematical Modeling of Viral Infections)
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