May 25 at 13:30 - 15:00, 2022 (JST)
  • via Zoom
Hidetoshi Taya

The widely acclaimed 1995/1996 papers by Ho, Perelson and others [1,2] demonstrated the important insights that come from mathematical modelling of virus infection kinetics within a person. But there are key dynamical differences between chronic and acute infections, namely whether the infection reaches or maintains some equilibrium or not. In this talk, I will introduce the equations used to describe a virus infection within a person. I will show some of the tricks used by mathematical modellers to extract important rate estimates from measurements in patients infected with chronic diseases, like HIV or Hepatitis C virus. I will explain why it is difficult to extract meaningful information from measurements in patients with an acute infection, like influenza or possibly COVID-19 [3]. I hope to hear from the audience if they have any thoughts about overcoming the issue to extract better rate information from limited data in patients with acute infections.

(This seminar is a joint seminar between Nonequilibrium working group and Biology study group)


  1. Ho DD, Neumann AU, Perelson AS, Chen W, Leonard JM, Markowitz M., Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection, Nature 373 (6510) 123-6 (1995), doi: 10.1038/373123a0
  2. Perelson AS, Neumann AU, Markowitz M, Leonard JM, Ho DD, HIV-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation time, Science (1996), doi: 10.1126/science.271.5255.1582
  3. Palmer J, Dobrovolny HM, and Beauchemin CAA, The in vivo efficacy of neuraminidase inhibitors cannot be determined from the decay rates of influenza viral titers observed in treated patients, Sci. Rep., 7:40210 (2017), doi: doi:10.1038/srep40210

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