Litcius/Paper detail

Mathematical analysis of a within-host model of SARS-CoV-2

Bhagya Jyoti Nath, Kaushik Dehingia, Vishnu Narayan Mishra, Yu‐Ming Chu, Hemanta Kumar Sarmah

2021Advances in Difference Equations55 citationsDOIOpen Access PDF

Abstract

Abstract In this paper, we have mathematically analyzed a within-host model of SARS-CoV-2 which is used by Li et al. in the paper “The within-host viral kinetics of SARS-CoV-2” published in (Math. Biosci. Eng. 17(4):2853–2861, 2020). Important properties of the model, like nonnegativity of solutions and their boundedness, are established. Also, we have calculated the basic reproduction number which is an important parameter in the infection models. From stability analysis of the model, it is found that stability of the biologically feasible steady states are determined by the basic reproduction number $(\chi _{0})$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>(</mml:mo> <mml:msub> <mml:mi>χ</mml:mi> <mml:mn>0</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:math> . Numerical simulations are done in order to substantiate analytical results. A biological implication from this study is that a COVID-19 patient with less than one basic reproduction ratio can automatically recover from the infection.

Topics & Concepts

Ordinary differential equationStability (learning theory)Coronavirus disease 2019 (COVID-19)Basic reproduction numberSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Applied mathematicsHost (biology)ReproductionMathematicsComputer scienceAlgorithm2019-20 coronavirus outbreakStatisticsDifferential equationBiologyMachine learningMathematical analysisDemographyMedicinePopulationVirologyEcologyDiseasePathologyInfectious disease (medical specialty)SociologyOutbreakMathematical and Theoretical Epidemiology and Ecology ModelsCOVID-19 epidemiological studiesMathematical Biology Tumor Growth
Mathematical analysis of a within-host model of SARS-CoV-2 | Litcius