This paper presents an overview of some key results from a body of optimization studies that
are specifically related to COVID-19, as reported in the literature during 2020-2021. As …

We present a formal mathematical modeling framework for a multi-agent sequential decision
problem during an epidemic. The problem is formulated as a collaboration between a …

In this paper, a model predictive control approach is proposed for epidemic mitigation. The
disease spreading dynamics is described by an 8-compartment smooth nonlinear model of …

Since the outbreak of coronavirus disease-2019 (COVID-19), the whole world has taken
interest in the mechanisms of its spread and development. Mathematical models have been …

Over the course of the COVID-19 pandemic millions of deaths and hospitalizations have
been reported. Different SARS-CoV-2 variants of concern have been recognized during this …

We propose two different mathematical models to study the effect of immigration on the
COVID-19 pandemic. The first model does not consider immigration, whereas the second …

Abstract The COVID-19 pandemic (SARS-CoV-2 virus) is the global crisis of our time. The
absence of mass testing and the relevant presence of asymptomatic individuals causes the …

The SARS-CoV-2 pandemic triggered substantial economic and social disruptions.
Mitigation policies varied across countries based on resources, political conditions, and …

This study utilizes modeling and simulation to analyze coronavirus (COVID-19) infection
trends depending on government policies. Two modeling requirements are considered for …

A critical operations management problem in the ongoing COVID-19 pandemic is
cognizance of (a) the number of all carriers at large (CaL) conveying the SARS-CoV-2 …