About: Modeling the dynamics of viral infections in presence of latently infected cells

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Modeling the dynamics of viral infections in presence of latently infected cells
Creator	Dutta, Hemen Hattaf, Khalid
source	Elsevier; Medline; PMC
abstract	The study aims to develop a new mathematical model in order to explain the dynamics of viral infections in vivo such as HIV infection. The model includes three classes of cells, takes into account the cure of infected cells in latent period and also incorporates three modes of transmission. The mention modes are modeled by three general incidence functions covering several special cases available in the literature. The basic properties of the model as well as its stability analysis have been carried out rigorously. Further, an application is given and also numerical simulation results have been incorporated supporting the analytical results.
has issue date	2020-06-04(xsd:dateTime)
bibo:doi	10.1016/j.chaos.2020.109916
bibo:pmid	32518473
has license	no-cc
sha1sum (hex)	15cb8cdb5ff19ca2dc34036339aad3b8bdfadbee
schema:url	https://doi.org/10.1016/j.chaos.2020.109916
resource representing a document's title	Modeling the dynamics of viral infections in presence of latently infected cells
has PubMed Central identifier	PMC7271877
has PubMed identifier	32518473
schema:publication	Chaos Solitons Fractals
resource representing a document's body	covid:15cb8cdb5ff19ca2dc34036339aad3b8bdfadbee#body_text
is schema:about of	named entity 'numerical simulation' named entity 'incidence' named entity 'order' named entity 'latently infected' named entity 'AVAILABLE' named entity 'INFECTED' named entity 'SUPPORTING' named entity 'BASIC' named entity 'ACCOUNT' named entity 'IN VIVO' named entity 'STUDY' named entity 'LITERATURE' named entity 'MODEL' named entity 'AIMS' named entity 'application' named entity 'modes' named entity 'model' named entity 'literature' named entity 'stability analysis' named entity 'modeled' named entity 'infected' named entity 'vivo' named entity 'viral infections' named entity 'HIV infection' named entity 'basic properties' named entity 'numerical simulation' named entity 'modes of transmission' named entity 'long-term' named entity 'well-posedness' named entity 'basic reproduction number' named entity 'severe acute respiratory syndrome' named entity 'continuously differentiable' named entity 'rediffmail' named entity 'chronic infection' named entity 'latently infected' named entity 'infection' named entity 'countries and territories' named entity 'HBV' named entity 'clearance rate' named entity 'HAART' named entity 'latently infected' named entity 'China' named entity 'infection' named entity 'hepatitis B virus' named entity 'viruses' named entity 'middle east respiratory syndrome' named entity 'virus' named entity 'virus' named entity 'chronic infection' named entity 'latently infected' named entity 'well-posedness' named entity 'co-cultures' named entity 'HIV infection' named entity 'SARS-CoV-2' named entity 'viruses' named entity 'hepatitis B surface' named entity 'basic reproduction number' named entity 'virus' named entity 'open problem' named entity 'infection' named entity 'virus' named entity 'globally asymptotically stable' named entity 'LaSalle's invariance principle' named entity 'virus' named entity 'coronavirus' named entity 'viruses' named entity 'schematic diagram' named entity 'viruses' named entity 'extracellular environment' named entity 'SARS-CoV-2' named entity 'well-posedness' named entity 'human body' named entity 'hepatocellular carcinoma' named entity 'health problems' named entity 'virus' named entity 'extracellular environment' named entity 'infection rate' named entity 'virus' named entity 'HIV' named entity 'virus'

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