Understanding Neutrophil Dynamics during COVID-19 Infection

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dc.contributor.authorMurphy, Quiyana M.en
dc.contributor.authorCiupe, Stanca M.en
dc.date.accessioned2023-02-24T15:46:01Zen
dc.date.available2023-02-24T15:46:01Zen
dc.date.issued2023-02-13en
dc.date.updated2023-02-24T14:07:48Zen
dc.description.abstractInfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) results in varied clinical outcomes, with virus-induced chronic inflammation and tissue injury being associated with enhanced disease pathogenesis. To determine the role of tissue damage on immune populations recruitment and function, a mathematical model of innate immunity following SARS-CoV-2 infection has been proposed. The model was fitted to published longitudinal immune marker data from patients with mild and severe COVID-19 disease and key parameters were estimated for each clinical outcome. Analytical, bifurcation, and numerical investigations were conducted to determine the effect of parameters and initial conditions on long-term dynamics. The results were used to suggest changes needed to achieve immune resolution.en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMurphy, Q.M.; Ciupe, S.M. Understanding Neutrophil Dynamics during COVID-19 Infection. Appl. Sci. 2023, 13, 2409.en
dc.identifier.doihttps://doi.org/10.3390/app13042409en
dc.identifier.urihttp://hdl.handle.net/10919/113935en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectmathematical modellingen
dc.subjectneutrophilsen
dc.subjectCOVID-19en
dc.subjectSARS-CoV-2en
dc.subjectinflammationen
dc.subjectresolutionen
dc.subjectbifurcation analysisen
dc.subjectsensitivity analysisen
dc.titleUnderstanding Neutrophil Dynamics during COVID-19 Infectionen
dc.title.serialApplied Sciencesen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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