About: Modeling the viral dynamics of SARS-CoV-2 infection

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.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 viral dynamics of SARS-CoV-2 infection
Creator	Müller, M Corman, V Guggemos, W Seilmaier, M Wölfel, R Zange, S
source	Elsevier; Medline; PMC
abstract	Coronavirus disease 2019 (COVID-19), an infectious disease caused by the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is spreading and causing the global coronavirus pandemic. The viral dynamics of SARS-CoV-2 infection have not been quantitatively investigated. In this paper, we use mathematical models to study the pathogenic features of SARS-CoV-2 infection by examining the interaction between the virus, cells and immune responses. Models are fit to the data of SARS-CoV-2 infection in patients and non-human primates. Data fitting and numerical simulation show that viral dynamics of SARS-CoV-2 infection have a few distinct stages. In the initial stage, viral load increases rapidly and reaches the peak, followed by a plateau phase possibly generated by lymphocytes as a secondary target of infection. In the last stage, viral load declines due to the emergence of adaptive immune responses. When the initiation of seroconversion is late or slow, the model predicts viral rebound and prolonged viral persistence, consistent with the observation in non-human primates. Using the model we also evaluate the effect of several potential therapeutic interventions for SARS-CoV-2 infection. Model simulation shows that anti-inflammatory treatments or antiviral drugs combined with interferon are effective in reducing the duration of the viral plateau phase and diminishing the time to recovery. These results provide insights for understanding the infection dynamics and might help develop treatment strategies against COVID-19.
has issue date	2020-08-06(xsd:dateTime)
bibo:doi	10.1016/j.mbs.2020.108438
bibo:pmid	32771304
has license	no-cc
sha1sum (hex)	f36f19a9ed7e5d9db1ca67f24d5e83a79a7f5f38
schema:url	https://doi.org/10.1016/j.mbs.2020.108438
resource representing a document's title	Modeling the viral dynamics of SARS-CoV-2 infection
has PubMed Central identifier	PMC7409942
has PubMed identifier	32771304
schema:publication	Math Biosci
resource representing a document's body	covid:f36f19a9ed7e5d9db1ca67f24d5e83a79a7f5f38#body_text
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