Data-driven methods for present and future pandemics: Monitoring, modelling and managing

T Alamo, DG Reina, PM Gata, VM Preciado… - Annual Reviews in …, 2021 - Elsevier
This survey analyses the role of data-driven methodologies for pandemic modelling and
control. We provide a roadmap from the access to epidemiological data sources to the …

Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy

G Giordano, M Colaneri, A Di Filippo, F Blanchini… - Nature medicine, 2021 - nature.com
Despite progress in clinical care for patients with coronavirus disease 2019 (COVID-19),
population-wide interventions are still crucial to manage the pandemic, which has been …

Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models

L Zino, M Cao - IEEE Circuits and Systems Magazine, 2021 - ieeexplore.ieee.org
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …

How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks

SM Grundel, S Heyder, T Hotz, TKS Ritschel… - SIAM Journal on Applied …, 2021 - SIAM
Most countries have started vaccinating people against COVID-19. However, due to limited
production capacities and logistical challenges it will take months/years until herd immunity …

Covid-19 and consumers' online purchase intention among an older-aged group of Kosovo

A Toska, J Zeqiri, V Ramadani… - International Journal of …, 2023 - emerald.com
Purpose This study aims to investigate the online purchase intention of an older-aged group
in Kosovo. Very few studies have analyzed the online purchase intention of these age …

Optimal non-pharmaceutical pandemic response strategies depend critically on time horizons and costs

SA Nowak, P Nascimento de Lima, R Vardavas - Scientific Reports, 2023 - nature.com
The COVID-19 pandemic has called for swift action from local governments, which have
instated non-pharmaceutical interventions (NPIs) to curb the spread of the disease. The swift …

Multi-objective model-based reinforcement learning for infectious disease control

R Wan, X Zhang, R Song - Proceedings of the 27th ACM SIGKDD …, 2021 - dl.acm.org
Severe infectious diseases such as the novel coronavirus (COVID-19) pose a huge threat to
public health. Stringent control measures, such as school closures and stay-at-home orders …

Optimized lockdown strategies for curbing the spread of COVID-19: A South African case study

LE Olivier, S Botha, IK Craig - Ieee Access, 2020 - ieeexplore.ieee.org
To curb the spread of COVID-19, many governments around the world have implemented
tiered lockdowns with varying degrees of stringency. Lockdown levels are typically …

Nonpharmaceutical stochastic optimal control strategies to mitigate the COVID-19 spread

P Scarabaggio, R Carli, G Cavone… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article proposes a stochastic nonlinear model predictive controller to support
policymakers in determining robust optimal nonpharmaceutical strategies to tackle the …

[HTML][HTML] Modeling COVID-19 nonpharmaceutical interventions: exploring periodic NPI strategies

R Vardavas, PN de Lima, L Baker - MedRxiv, 2021 - ncbi.nlm.nih.gov
We developed a COVID-19 transmission model used as part of RAND's web-based COVID-
19 decision support tool that compares the effects of nonpharmaceutical public health …