A. Amidei, H.M. Dobrovolny, (2023) `Virus-mediated cells fusion of SARS-CoV-2 variants', submitted to Journal of the Royal Society Interface

G. McCarthy. H.M. Dobrovolny, (2023) `Modeling the effectiveness of non-pharmaceutical interventions in the United States', submitted to Mathematical Biosciences

E. Guo, H.M. Dobrovolny, (2023) `Mathematical modeling of oncolytic virus therapy reveals role of the immune response', submitted to Viruses

K. Buntval, H.M. Dobrovolny, (2023) `Madeling of oncolytic viruses in a heterogeneous cell population', submitted to Computers in Medicine and Biology

T. Mohan, H.M. Dobrovolny, (2023) `How easy is it for a virus to escape multiple vaccines?', submitted to Mathematical Biosciences

H.M. Dobrovolny, (2023) `Mathematical modeling of virus-mediated syncytia formation: Past successes and future directions', accepted in Syncytia: Origin, Structure, and Functions

Z. Noffel, H.M. Dobrovolny, (2023) `Quantifying the effect of defective viral genomes in respiratory syncytial virus', Mathematical Biosciences and Engineering 20(7):12666-12681. [Article]

A. Haun. B Fain, H.M. Dobrovolny, (2022) `Effect of cellular regeneration and viral transmission mode on viral spread', Journal of Theoretical Biology 558:111370. [Article]

A. Amidei, H.M. Dobrovolny, (2022) `Estimation of virus-mediated cell fusion rate of SARS-CoV-2', Virology 575:91-100. [Article]

B. Fain, H.M. Dobrovolny, (2022) `GPU acceleration and data fitting: Agent-based models of viral infections can now be parameterized in hours', Journal of Computational Science 61:101662. [Article]

L. Pinky, H.M. Dobrovolny, (2022) `Epidemiological consequences of viral interference: A mathematical modeling study of two interacting viruses', Frontiers in Microbiology 13:822606. [Article]

J. Karr, R.S.M. Sheriff, J. Osborne, G. Gonzalez-Parra, E. Forgoston, R. Bowness, Y. Liu, R. Thompson, W. Garira, J. Barhak, J. Rice, M. Torres, H.M. Dobrovolny, T. Tang, W. Waites, J.A.Glazier, J. Faeder, A. Kulesza (2022) `Model integration in computational biology: The role of reproducibility, Credibility, and Utility', Frontiers in Systems Biology 2:822606. [Article]

P. Alexander, H.M. Dobrovolny, (2022) `Treatment of viral coinfections', Epidemiologia 3:81-96. [Article]

C. Pho, M. Frieler, G. Akkaraju, A. Naumov, H.M. Dobrovolny, (2022) `Using mathematical modeling to estimate time-independent cancer chemotherapy efficacy parameters', In Silico Pharmacology 10:2. [Article]

S. Khan, H.M. Dobrovolny, (2021) `A study of the effects of age on the dynamics of RSV in animal models', Virus Research 304:198524. [Article]

S. Sharpe, H.M. Dobrovolny, (2021) `Predicting the effectiveness of chemotherapy using stochastic ODE models of tumor growth', Communications in Nonlinear Science and Numerical Simulation 101:105883. [Article]

B. Jessie, H.M. Dobrovolny, (2021) `The role of syncytia during viral infections', Journal of Theoretical Biology 525:110749. [Article]

T. Rodriguez, G. Gonzalez-Parra, H.M. Dobrovolny, (2021) `Quantifying the effect of trypsin and elastase on in vitro SARS infections', Virus Research 299:198423. [Article]

M. Frieler, C. Pho, B. Lee, H.M. Dobrovolny, A. Naumov, G. Akkaraju (2021) `Effects of Nitrogen-doped graphene quantum dots on cancer cell growth: Experimental study and mathematical modeling', Nanomaterials 11:140. [Article]

B. Fain, H.M. Dobrovolny, (2020) `Initial inoculum and the severity og COVID-19: A mathematical modeling study of the dose-response of SARS-CoV-2 infections', Epidemiologia 1:5-15. [Article]

H.M. Dobrovolny, (2020) `Quantifying the effect of remdesivir in rhesus macaques infected with SARS-CoV-2', Virology 550:61-69. [Article]

H.M. Dobrovolny, (2020) `Modeling the role of asymptomatics in infection spread with application to SARS-CoV-2', Plos One 15(8):e0236976. [Article]

C.E.R. Rowell, H.M. Dobrovolny, (2020) `Energy requirements for loss of viral infectivity', Food and Environmental Virology 12(4):281-294. [Article]

L. Pinky, H.M. Dobrovolny, (2020) `SARS-CoV-2 coinfections: Could influenza and the common cold be beneficial?', Journal of Medical Virology 92(11):2623-2630. [Article]

H. Murphy, G. McCarthy H.M. Dobrovolny, (2020) `Understanding the effect of measurement time on drug characterization', Plos One 15(5):e0233031. [Article]

H. Schmid, H.M. Dobrovolny, (2020) `An approximate solution of the interferon-dependent viral kinetics model of influenza', Journal of Theoretical Biology 498:110266. [Article]

T. Rodriguez, G. Gonzalez-Parra, H.M. Dobrovolny, (2021) `Quantifying the effect of trypsin and elastase on in vitro SARS infections', Virus Research 299:198423. [Article]

B. Tuladhar, H.M. Dobrovolny, (2019) `Testing the limits of cardiac electrophysiology models through systematic variation of current', AIMS Mathematics 5(1):140-157. [Article]

L. Pinky, G. Gonzalez-Parra, H.M. Dobrovolny, (2019) ``Effect of stochasticity on coinfection dynamics of respiratory viruses', BMC Bioinformatics 20:191. [Article]

G. Gonzalez-Parra, H.M. Dobrovolny, (2019) `The rate of viral transfer between upper and lower respiratory tracts determines RSV illness duration', Journal of Mathematical Biology 79:467-483. [Article]

L. Pinky, G. Gonzalez-Parra, H.M. Dobrovolny, (2019) `Superinfection and cell regeneration can lead to chronic viral coinfections', Journal of Theoretical Biology 466:24-38. [Article]

K. Melville, T. Rodriguez, H.M. Dobrovolny, (2018) `Investigating different mechanisms of action in combination therapy for influenza', Frontiers in Pharmacology 9:1207. [Article]

G. Gonzalez-Parra, H.M. Dobrovolny, (2018) `A quantitative assessment of dynamical differences of RSV infections in vitro and in vivo', Virology 523:129-139. [Article]

G. Gonzalez-Parra, H.M. Dobrovolny, (2018) `Modeling of fusion inhibitor treatment of RSV in African green monkeys', Journal of Theoretical Biology 456:62-73. [Article]

G. Gonzalez-Parra, F. De Ridder, D. Huntjens, D. Roymans, G. Ispas, H.M. Dobrovolny (2018) `A comparison of RSV and influenza in vitro kinetic parameters reveals differences in infecting time', PLOS One 13(2):e0192645. [Article]

L.A.C. Deecke, H.M. Dobrovolny, (2018) `Intermittent treatment of influenza', Journal of Theoretical Biology 442:129-138. [Article]

G. Gonzalez-Parra, H.M. Dobrovolny, D.F. Aranda, B.M. Chen-Charpentier, R. Guerrero (2018) `Quantifying rotavirus kinetics in the REH tumor cell line', Virus Research 277:53-63 [Article]

H.M. Dobrovolny, C.A.A. Beauchemin (2017) `Modelling the Emergence of Influenza Drug Resistance: The Roles of Surface Proteins, the Immune Response and Antiviral Mechanisms', Plos One 12(7): e0180582.. [Article]

L. Pinky, H.M. Dobrovolny (2017) `The impact of cell regeneration on the dynamics of viral coinfection', Chaos 27:063109. [Article]

J. Palmer, H.M. Dobrovolny, C.A.A. Beauchemin (2017), 'The in vivo efficacy of neuraminidase inhibitors cannot be determined from the decay of influenza viral titers observed in treated patients.' Sci. Rep. 7:40210. [Article]

L.Pinky, H.M. Dobrovolny (2016), `Coinfections of the respiratory tract: Viral competition for resources', PLOS One 11(5):e0155589. [Article]

G. Gonzalez-Parra, T. Rodriguez, H.M. Dobrovolny (2016), `A comparison of methods for extracting influenza viral titer characteristics', J. Virol. Meth, 231:14-24.

H. Murphy, H. Jaafari, H.M. Dobrovolny (2016), 'Differences in predictions of ODE models of tumor growth: A cautionary example', BMC Cancer, 16(1):163.[Article]

G. Gonzalez-Parra, H.M. Dobrovolny (2015) `Assessing uncertainty in A2 respiratory syncytial virus (RSV) viral dynamics', Comput. Math. Meth. Medicine 2015:567589.[Article]

N.F. Beggs, H.M. Dobrovolny (2014), `Determining drug efficacy parameters for mathematical models of influenza.' J. Biol. Dyn. 9(S1):332-46.[Article]

H.M. Dobrovolny, M.B. Reddy, M.A. Kamal, C.R. Rayner, C.A.A. Beauchemin (2013), �Assessing mathematical models of influenza infections using features of the immune response.� PLoS One 8(2):e57088. [Article]

H.M. Dobrovolny, R. Gieschke, B.E. Davies, N.L. Jumbe, C.A.A. Beauchemin (2011) �Neuraminidase inhibitors for treatment of human and avian strain influenza: A comparative modeling study.� J. Theor. Biol. 269:234-244. [Article]

H.M. Dobrovolny, M.J. Baron, R. Gieschke, B.E. Davies, N.L. Jumbe, and C.A.A. Beauchemin (2010) �Exploring cell tropism as a possible contributor to influenza infection severity.� PLoS One, 5(11):e13811. [Article]

H.M. Dobrovolny, C.M. Berger, N.H. Brown, W. Krassowska Neu, D.J. Gauthier (2009) �Spatial Heterogeneity of Restitution Properties and the Onset of Alternans.� Proceedings of 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sep. 6:4186-4189.[Article]

D.W. Evertson (In Memoriam), M.R. Holcomb, M.D.C. Eames, M.-A.P. Bray, V.Y. Sidorov, J. Xu, H. Wingard, H.M. Dobrovolny, M.C. Woods, D.J. Gauthier, and J.P. Wikswo (2008) �High-resolution high-speed panoramic cardiac imaging system.� IEEE Trans. Biomed. Eng. 55:1241-1243. [Article]

C.M. Berger, X. Zhao, D.G. Schaeffer, W. Krassowska, H.M. Dobrovolny, D.J. Gauthier (2007) �Period-doubling bifurcation to alternans in paced cardiac tissue: Crossover from smooth to border-collision characteristics.� Phys. Rev. Lett. 99:058101. [Article]

N.H. Brown, H.M. Dobrovolny, P.D. Wolf, D.J. Gauthier (2007) �A Fiber-Based Ratiometric Optical Cardiac Mapping Channel using a Diffraction Grating and Split Detector.� Biophys J. 93:254-263. [Article]

S.S. Kalb, H.M. Dobrovolny, E. Tolkacheva, S.F. Idriss, W. Krassowska, D.J. Gauthier (2004) �The restitution portrait: A new method for investigating rate-dependent restitution.� J. Cardiovasc. Electrophys. 15:698-709. [Article]

C.J. Cellucci, P.D. Brodfuehrer, R. Acera-Pozzi, H.M. Dobrovolny, E. Engler, J. Los, R. Thompson, A.M. Albano (2000) �Linear and nonlinear measures predict swimming in the leech.� Phys. Rev. E 62:4826-4834. [Article]