Optimization in the context of COVID-19 prediction and control: A literature review

E Jordan, DE Shin, S Leekha, S Azarm - Ieee Access, 2021 - ieeexplore.ieee.org
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 …

The heterogeneous mixing model of COVID-19 with interventions

M Duan, Z ** - Journal of theoretical biology, 2022 - Elsevier
The emergence of mutant strains of COVID-19 reduces the effectiveness of vaccines in
preventing infection, but remains effective in preventing severe illness and death. This paper …

Reaction-diffusion spatial modeling of COVID-19: Greece and Andalusia as case examples

PG Kevrekidis, J Cuevas-Maraver, Y Drossinos, Z Rapti… - Physical Review E, 2021 - APS
We examine the spatial modeling of the outbreak of COVID-19 in two regions: the
autonomous community of Andalusia in Spain and the mainland of Greece. We start with a …

Parameter estimation for contact tracing in graph-based models

A Okolie, J Müller… - Journal of the Royal …, 2023 - royalsocietypublishing.org
We adopt a maximum-likelihood framework to estimate parameters of a stochastic
susceptible–infected–recovered (SIR) model with contact tracing on a rooted random tree …

A mathematical model reveals the influence of NPIs and vaccination on SARS-CoV-2 Omicron Variant

BG Wang, ZC Wang, Y Wu, Y ** the behavior of naïve populations faced with epidemics
I Kastalskiy, A Zinovyev, EM Mirkes, V Kazantsev… - … in Nonlinear Science …, 2024 - Elsevier
In the context of natural disasters, human responses inevitably intertwine with natural
factors. The COVID-19 pandemic, as a significant stress factor, has brought to light profound …

Modelling of spatial infection spread through heterogeneous population: from lattice to partial differential equation models

A Vaziry, T Kolokolnikov… - Royal Society Open …, 2022 - royalsocietypublishing.org
We present a simple model for the spread of an infection that incorporates spatial variability
in population density. Starting from first-principle considerations, we explore how a novel …