... Within host mathematical models of influenza have previously been used to study many aspects of antiviral treatment including extracting of drug efficacy parameters (Beauchemin et al., 2008;Brown et al., 2011;Beggs and Dobrovolny, 2015;Liao et al., 2017), treatment of severe influenza (Dobrovolny et al., 2010(Dobrovolny et al., , 2011Deecke and Dobrovolny, 2018), emergence of drug resistance (Handel et al., 2007;Perelson et al., 2012;Hur et al., 2013;Canini et al., 2014;Dobrovolny and Beauchemin, 2017;Deecke and Dobrovolny, 2018), and to optimize antiviral treatments (Perelson et al., 2012;Heldt et al., 2013;Hur et al., 2013;Canini et al., 2014). While there are some mathematical models that attempt to model infections in patients by including an immune response (Dobrovolny et al., 2013;Cao and McCaw, 2015;Price et al., 2015;Zarnitsyna et al., 2016;Yan et al., 2017), the lack of appropriate human data for parameterizing and validating these models limits their predictive ability (Dobrovolny et al., 2013;Boianelli et al., 2015). However, simpler mathematical models can successfully reproduce in vitro dynamics (Beauchemin and Handel, 2011;Pinilla et al., 2012), and since mathematical models can quickly and efficiently simulate hundreds of combinations of doses, they are ideally suited as preliminary studies to ascertain whether combination therapy is effective and, if so, which combinations of doses produce the best results. ...