A generalized within-host model of dengue infection with a non-constant monocyte production rate

In this paper, we generalize a previous model of within-host dengue infection with a nonconstant monocyte production rate. We establish the existence of three equilibria and give some local stability results. We then estimate three parameters in the model from clinical data for dengue virus serotype...

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Main Authors: Jeremy J. Thibodeaux, Daniel Nuñez, Andres Rivera
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Biological Dynamics
Subjects:
Online Access:http://dx.doi.org/10.1080/17513758.2020.1733678
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spelling doaj-860c0298f67641ab8e6cd372730e46352020-11-25T02:01:35ZengTaylor & Francis GroupJournal of Biological Dynamics1751-37581751-37662020-01-0114114316110.1080/17513758.2020.17336781733678A generalized within-host model of dengue infection with a non-constant monocyte production rateJeremy J. Thibodeaux0Daniel Nuñez1Andres Rivera2Loyola University New OrleansJaveriana University CaliJaveriana University CaliIn this paper, we generalize a previous model of within-host dengue infection with a nonconstant monocyte production rate. We establish the existence of three equilibria and give some local stability results. We then estimate three parameters in the model from clinical data for dengue virus serotype 2. It is then shown that the model can exhibit behaviours that are not possible under the assumption of constant monocyte production. Lastly, we perform a sensitivity analysis of the model in two contexts, antiviral treatment and immunostimulatory treatment. The results predict that antiviral treatments that reduce the viral replication rate in infected monocytes are the most effective, while immunostimulatory treatments that increase the rate at which infected monocytes are removed are best.http://dx.doi.org/10.1080/17513758.2020.1733678denguewithin-host modelnet reproductive rateclinical data
collection DOAJ
language English
format Article
sources DOAJ
author Jeremy J. Thibodeaux
Daniel Nuñez
Andres Rivera
spellingShingle Jeremy J. Thibodeaux
Daniel Nuñez
Andres Rivera
A generalized within-host model of dengue infection with a non-constant monocyte production rate
Journal of Biological Dynamics
dengue
within-host model
net reproductive rate
clinical data
author_facet Jeremy J. Thibodeaux
Daniel Nuñez
Andres Rivera
author_sort Jeremy J. Thibodeaux
title A generalized within-host model of dengue infection with a non-constant monocyte production rate
title_short A generalized within-host model of dengue infection with a non-constant monocyte production rate
title_full A generalized within-host model of dengue infection with a non-constant monocyte production rate
title_fullStr A generalized within-host model of dengue infection with a non-constant monocyte production rate
title_full_unstemmed A generalized within-host model of dengue infection with a non-constant monocyte production rate
title_sort generalized within-host model of dengue infection with a non-constant monocyte production rate
publisher Taylor & Francis Group
series Journal of Biological Dynamics
issn 1751-3758
1751-3766
publishDate 2020-01-01
description In this paper, we generalize a previous model of within-host dengue infection with a nonconstant monocyte production rate. We establish the existence of three equilibria and give some local stability results. We then estimate three parameters in the model from clinical data for dengue virus serotype 2. It is then shown that the model can exhibit behaviours that are not possible under the assumption of constant monocyte production. Lastly, we perform a sensitivity analysis of the model in two contexts, antiviral treatment and immunostimulatory treatment. The results predict that antiviral treatments that reduce the viral replication rate in infected monocytes are the most effective, while immunostimulatory treatments that increase the rate at which infected monocytes are removed are best.
topic dengue
within-host model
net reproductive rate
clinical data
url http://dx.doi.org/10.1080/17513758.2020.1733678
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