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 …

SARS-COV-2 (Coronavirus) viral growth kinetics within-host become a key fact to
understand the COVID-19 disease progression and disease severity since the year 2020 …

SARS-CoV-2 and Influenza co-infection turned out to be a huge threat in recent times. The
clinical presentation and disease severity is common in both the infection condition. The …

In this chapter, we describe the use of mathematical and simulation tools applied in various
aspects of the coronavirus disease 2019 pandemic through an extensive and careful review …

Mathematical modeling is widely used to study within-host viral dynamics. However, to the
best of our knowledge, for the case of SARS-CoV-2 such analyses were mainly conducted …

An epidemiological model for COVID-19 was developed and implemented in MATLAB/GNU
Octave for use by public health practitioners, policy makers, and the general public. The …

A quantitative systems pharmacology (QSP) model of the pathogenesis and treatment of
SARS-CoV-2 infection can streamline and accelerate the development of novel medicines to …

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 …

Since late 2019 the world is facing the rapid spreading of a novel viral disease (SARS-CoV-
2) provoked by the coronavirus 2 infection (COVID-19), declared pandemic last 12 March …

The COVID-19 pandemic has placed epidemiologists, modelers, and policy makers at the
forefront of the global discussion of how to control the spread of coronavirus. The main …