The within-host viral kinetics of SARS-CoV-2.

Li, Chen Tong; Xu, Jin Hu; Liu, Jia Wei; Zhou, Yi Cang

Li, Chen Tong; Xu, Jin Hu; Liu, Jia Wei; Zhou, Yi Cang.

Li CT; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.
Xu JH; School of Sciences, Xi'an University of Technology, Xi'an, 710048, China.
Liu JW; Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA.
Zhou YC; School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, 710049, China.

Math Biosci Eng ; 17(4): 2853-2861, 2020 03 26.

Article in English | MEDLINE | ID: covidwho-805316

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ABSTRACT

ABSTRACT

In this work, we use a within-host viral dynamic model to describe the SARS-CoV-2 kinetics in the host. Chest radiograph score data are used to estimate the parameters of that model. Our result shows that the basic reproductive number of SARS-CoV-2 in host growth is around 3.79. Using the same method we also estimate the basic reproductive number of MERS virus is 8.16 which is higher than SARS-CoV-2. The PRCC method is used to analyze the sensitivities of model parameters. Moreover, the drug effects on virus growth and immunity effect of patients are also implemented to analyze the model.

Subject(s)

Betacoronavirus; Coronavirus Infections/virology; Host Microbial Interactions; Pandemics; Pneumonia, Viral/virology; Basic Reproduction Number/statistics & numerical data; COVID-19; Computer Simulation; Coronavirus Infections/epidemiology; Coronavirus Infections/transmission; Host Microbial Interactions/immunology; Humans; Kinetics; Mathematical Concepts; Middle East Respiratory Syndrome Coronavirus; Models, Biological; Pneumonia, Viral/epidemiology; Pneumonia, Viral/transmission; SARS-CoV-2

Keywords

MERS; SARS-CoV-2; basic reproductive number; differential equation model

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus / Host Microbial Interactions Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Math Biosci Eng Year: 2020 Document Type: Article Affiliation country: Mbe.2020159

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