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For: Quirouette C, Younis NP, Reddy MB, Beauchemin CAA. A mathematical model describing the localization and spread of influenza A virus infection within the human respiratory tract. PLoS Comput Biol 2020;16:e1007705. [PMID: 32282797 DOI: 10.1371/journal.pcbi.1007705] [Cited by in Crossref: 8] [Cited by in F6Publishing: 13] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Darquenne C, Borojeni AA, Colebank MJ, Forest MG, Madas BG, Tawhai M, Jiang Y. Aerosol Transport Modeling: The Key Link Between Lung Infections of Individuals and Populations. Front Physiol 2022;13:923945. [DOI: 10.3389/fphys.2022.923945] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
2 Fain BG, Dobrovolny HM. GPU acceleration and data fitting: Agent-based models of viral infections can now be parameterized in hours. Journal of Computational Science 2022. [DOI: 10.1016/j.jocs.2022.101662] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Miller J, Burch-smith TM, Ganusov VV. Mathematical Modeling Suggests Cooperation of Plant-Infecting Viruses. Viruses 2022;14:741. [DOI: 10.3390/v14040741] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
4 Bavi O, Hosseininia M, Heydari M, Bavi N. SARS-CoV-2 rate of spread in and across tissue, groundwater and soil: A meshless algorithm for the fractional diffusion equation. Engineering Analysis with Boundary Elements 2022. [DOI: 10.1016/j.enganabound.2022.01.018] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
5 Moses ME, Hofmeyr S, Cannon JL, Andrews A, Gridley R, Hinga M, Leyba K, Pribisova A, Surjadidjaja V, Tasnim H, Forrest S. Spatially distributed infection increases viral load in a computational model of SARS-CoV-2 lung infection. PLoS Comput Biol 2021;17:e1009735. [PMID: 34941862 DOI: 10.1371/journal.pcbi.1009735] [Reference Citation Analysis]
6 Arya RK, Verros GD, Thapliyal D. Towards a Mathematical Model for the Viral Progression in the Pharynx. Healthcare (Basel) 2021;9:1766. [PMID: 34946492 DOI: 10.3390/healthcare9121766] [Reference Citation Analysis]
7 Wu K, Chugh VK, D Krishna V, di Girolamo A, Wang YA, Saha R, Liang S, Cheeran MC, Wang JP. One-Step, Wash-free, Nanoparticle Clustering-Based Magnetic Particle Spectroscopy Bioassay Method for Detection of SARS-CoV-2 Spike and Nucleocapsid Proteins in the Liquid Phase. ACS Appl Mater Interfaces 2021;13:44136-46. [PMID: 34499464 DOI: 10.1021/acsami.1c14657] [Cited by in F6Publishing: 6] [Reference Citation Analysis]
8 Bulut H, Gölgeli M, Atay FM. Modelling personal cautiousness during the COVID-19 pandemic: a case study for Turkey and Italy. Nonlinear Dyn 2021;:1-13. [PMID: 33994665 DOI: 10.1007/s11071-021-06320-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
9 Kang D, Ellgen C, Kulstad E. Possible effects of air temperature on COVID-19 disease severity and transmission rates. J Med Virol 2021;93:5358-66. [PMID: 33913555 DOI: 10.1002/jmv.27042] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
10 Aralova NI; Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, Kyiv. MATHEMATICAL MODELLING OF IMMUNE PROCESSES AND ITS APPLICATION. Biotechnol acta 2020;13:5-18. [DOI: 10.15407/biotech13.05.005] [Reference Citation Analysis]
11 Jenner AL, Aogo RA, Davis CL, Smith AM, Craig M. Leveraging Computational Modeling to Understand Infectious Diseases. Curr Pathobiol Rep 2020;:1-13. [PMID: 32989410 DOI: 10.1007/s40139-020-00213-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
12 Schmid H, Dobrovolny HM. An approximate solution of the interferon-dependent viral kinetics model of influenza. J Theor Biol 2020;498:110266. [PMID: 32339545 DOI: 10.1016/j.jtbi.2020.110266] [Reference Citation Analysis]
13 Hou YJ, Okuda K, Edwards CE, Martinez DR, Asakura T, Dinnon KH 3rd, Kato T, Lee RE, Yount BL, Mascenik TM, Chen G, Olivier KN, Ghio A, Tse LV, Leist SR, Gralinski LE, Schäfer A, Dang H, Gilmore R, Nakano S, Sun L, Fulcher ML, Livraghi-Butrico A, Nicely NI, Cameron M, Cameron C, Kelvin DJ, de Silva A, Margolis DM, Markmann A, Bartelt L, Zumwalt R, Martinez FJ, Salvatore SP, Borczuk A, Tata PR, Sontake V, Kimple A, Jaspers I, O'Neal WK, Randell SH, Boucher RC, Baric RS. SARS-CoV-2 Reverse Genetics Reveals a Variable Infection Gradient in the Respiratory Tract. Cell 2020;182:429-446.e14. [PMID: 32526206 DOI: 10.1016/j.cell.2020.05.042] [Cited by in Crossref: 877] [Cited by in F6Publishing: 657] [Article Influence: 438.5] [Reference Citation Analysis]