Abstract Coronavirus disease 2019 (COVID‐19) global pandemic is caused by severe acute
respiratory syndrome‐coronavirus 2 (SARS‐CoV‐2) viral infection, which can lead to …

Mathematical models of viral dynamics have been reported to describe adequately the
dynamic changes of severe acute respiratory syndrome‐coronavirus 2 viral load within an …

Coronavirus disease 2019 is known to be regulated by multiple factors such as delayed
immune response, impaired T cell activation, and elevated levels of proinflammatory …

Quantitative systems pharmacology (QSP) has been an important tool to project safety and
efficacy of novel or repurposed therapies for the SARS‐CoV‐2 virus. Here, we present a …

Aims We propose the use of in silico mathematical models to provide insights that optimize
therapeutic interventions designed to effectively treat respiratory infection during a …

We have applied mathematical modeling to investigate the infections of the ongoing
coronavirus disease‐2019 (COVID‐19) pandemic caused by SARS‐CoV‐2 virus. We first …

The goal of this study was to develop a mathematical model to simulate the actions of drugs
that target SARS-CoV-2 virus infection. To accomplish that goal, we have developed a …

The scientific community is focused on developing antiviral therapies to mitigate the impacts
of the ongoing novel coronavirus disease 2019 (COVID-19) outbreak. This will be facilitated …

To affect the COVID-19 pandemic, lifesaving antiviral therapies must be identified. The
number of clinical trials that can be performed is limited. We developed mathematical …

The COVID-19 pandemic has highlighted a need for improved frameworks for drug
discovery, repurposing, clinical trial design and therapy optimization and personalization …