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For: González-Parra G, Dobrovolny HM. The rate of viral transfer between upper and lower respiratory tracts determines RSV illness duration. J Math Biol 2019;79:467-83. [PMID: 31011792 DOI: 10.1007/s00285-019-01364-1] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 González-parra G, Díaz-rodríguez M, Arenas AJ. Mathematical modeling to study the impact of immigration on the dynamics of the COVID-19 pandemic: A case study for Venezuela. Spatial and Spatio-temporal Epidemiology 2022;43:100532. [DOI: 10.1016/j.sste.2022.100532] [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] [Reference Citation Analysis]
3 Lang JC. Use of mathematical modelling to assess respiratory syncytial virus epidemiology and interventions: a literature review. J Math Biol 2022;84:26. [PMID: 35218424 DOI: 10.1007/s00285-021-01706-y] [Reference Citation Analysis]
4 Bernhauerová V, Lisowski B, Rezelj VV, Vignuzzi M. Mathematical modelling of SARS-CoV-2 infection of human and animal host cells reveals differences in the infection rates and delays in viral particle production by infected cells. J Theor Biol 2021;531:110895. [PMID: 34499915 DOI: 10.1016/j.jtbi.2021.110895] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
5 Heumann R, Duncan C, Stobart CC, Kaschner S. Dynamical Differences in Respiratory Syncytial Virus. Bull Math Biol 2021;84:11. [PMID: 34850293 DOI: 10.1007/s11538-021-00971-8] [Reference Citation Analysis]
6 Cogollo MR, González-parra G, Arenas AJ. Modeling and Forecasting Cases of RSV Using Artificial Neural Networks. Mathematics 2021;9:2958. [DOI: 10.3390/math9222958] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Jessie B, Dobrovolny HM. The role of syncytia during viral infections. J Theor Biol 2021;525:110749. [PMID: 33964289 DOI: 10.1016/j.jtbi.2021.110749] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Fain B, Dobrovolny HM. Initial Inoculum and the Severity of COVID-19: A Mathematical Modeling Study of the Dose-Response of SARS-CoV-2 Infections. Epidemiologia 2020;1:5-15. [DOI: 10.3390/epidemiologia1010003] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 3.0] [Reference Citation Analysis]
9 Ljubin-Sternak S, Meštrović T, Ivković-Jureković I, Kolarić B, Slović A, Forčić D, Tot T, Mijač M, Vraneš J. The Emerging Role of Rhinoviruses in Lower Respiratory Tract Infections in Children - Clinical and Molecular Epidemiological Study From Croatia, 2017-2019. Front Microbiol 2019;10:2737. [PMID: 31849887 DOI: 10.3389/fmicb.2019.02737] [Cited by in Crossref: 7] [Cited by in F6Publishing: 11] [Article Influence: 2.3] [Reference Citation Analysis]
10 Wethington D, Harder O, Uppulury K, Stewart WCL, Chen P, King T, Reynolds SD, Perelson AS, Peeples ME, Niewiesk S, Das J. Mathematical modelling identifies the role of adaptive immunity as a key controller of respiratory syncytial virus in cotton rats. J R Soc Interface 2019;16:20190389. [PMID: 31771450 DOI: 10.1098/rsif.2019.0389] [Cited by in Crossref: 9] [Cited by in F6Publishing: 13] [Article Influence: 3.0] [Reference Citation Analysis]
11 [DOI: 10.1101/2020.09.25.20201772] [Cited by in Crossref: 20] [Cited by in F6Publishing: 4] [Reference Citation Analysis]