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Résumé |
Mathematical models have been used for about 30 years to improve our understanding
of virus-host interaction, in particular during chronic infections. In this talk I
will discuss the main insights provided by mathematical models of viral dynamics
at the different stages of the outbreak, in particular how these models have been
used to provide insights into the natural history of acute SARS-CoV-2 infection,
optimize antiviral treatment strategies, understand factors associated with
transmission, and optimize surveillance systems. I will examine the lessons
learned from the COVID-19 pandemic consider the new areas for development in
anticipation of future acute infections from new or reemerging pathogens. |
