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For: Vaidya NK, Bloomquist A, Perelson AS. Modeling Within-Host Dynamics of SARS-CoV-2 Infection: A Case Study in Ferrets. Viruses 2021;13:1635. [PMID: 34452499 DOI: 10.3390/v13081635] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Aristotelous AC, Chen A, Forest MG. A hybrid discrete-continuum model of immune responses to SARS-CoV-2 infection in the lung alveolar region, with a focus on interferon induced innate response. J Theor Biol 2022;555:111293. [PMID: 36208668 DOI: 10.1016/j.jtbi.2022.111293] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 de León UA, Resendis-antonio O. Macrophage Boolean networks in the time of SARS-CoV-2. Front Immunol 2022;13:997434. [DOI: 10.3389/fimmu.2022.997434] [Reference Citation Analysis]
3 Ciupe SM, Tuncer N. Identifiability of parameters in mathematical models of SARS-CoV-2 infections in humans. Sci Rep 2022;12:14637. [PMID: 36030320 DOI: 10.1038/s41598-022-18683-x] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Heitzman-breen N, Ciupe SM. Modeling within-host and aerosol dynamics of SARS-CoV-2: The relationship with infectiousness. PLoS Comput Biol 2022;18:e1009997. [DOI: 10.1371/journal.pcbi.1009997] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
5 Dehingia K, Mohsen AA, Alharbi SA, Alsemiry RD, Rezapour S. Dynamical Behavior of a Fractional Order Model for Within-Host SARS-CoV-2. Mathematics 2022;10:2344. [DOI: 10.3390/math10132344] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Toppings NB, Oberding LK, Lin YC, Evans D, Pillai DR. The Role of Subgenomic RNA in Discordant Results From Reverse Transcription-Polymerase Chain Reaction Tests for COVID-19. Arch Pathol Lab Med 2022;146:805-13. [PMID: 35380615 DOI: 10.5858/arpa.2021-0630-SA] [Reference Citation Analysis]
7 Yin Y, Xi Y, Xu C, Sun Q. The Basic Reproduction Number and Delayed Action of T Cells for Patients Infected with SARS-CoV-2. Mathematics 2022;10:2017. [DOI: 10.3390/math10122017] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Rowlatt CF, Chaplain MAJ, Hughes DJ, Gillespie SH, Dockrell DH, Johannessen I, Bowness R. Modelling the within-host spread of SARS-CoV-2 infection, and the subsequent immune response, using a hybrid, multiscale, individual-based model. Part I: Macrophages.. [DOI: 10.1101/2022.05.06.490883] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Ciupe SM, Tuncer N. Identifiability of parameters in mathematical models of SARS-CoV-2 infections in humans.. [DOI: 10.1101/2022.04.26.22274345] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Farhang-sardroodi S, Ghaemi MS, Craig M, Ooi HK, Heffernan JM. A Machine Learning Approach to Differentiate Between COVID-19 and Influenza Infection Using Synthetic Infection and Immune Response Data.. [DOI: 10.1101/2022.01.27.22269978] [Reference Citation Analysis]
11 Farhang-sardroodi S, Ghaemi MS, Craig M, Ooi HK, Heffernan JM. . MBE 2022;19:5813-31. [DOI: 10.3934/mbe.2022272] [Reference Citation Analysis]
12 Toppings NB, Oberding LK, Lin Y, Evans D, Pillai DR. The role of sub-genomic RNA in discordant results from RT-PCR tests for COVID-19.. [DOI: 10.1101/2021.12.14.21267750] [Reference Citation Analysis]