  Mathematical models describing SARS-CoV-2 dynamics and the corresponding
immune responses in patients with COVID-19 can be critical to evaluate possible
clinical outcomes of antiviral treatments. In this work, based on the concept
of virus spreadability in the host, antiviral effectiveness thresholds are
determined to establish whether or not a treatment will be able to clear the
infection. In addition, the virus dynamic in the host -- including the
time-to-peak and the final monotonically decreasing behavior -- is chracterized
as a function of the treatment initial time. Simulation results, based on nine
real patient data, show the potential clinical benefits of a treatment
classification according to patient critical parameters. This study is aimed at
paving the way for the different antivirals being developed to tackle
SARS-CoV-2.
