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 …

Abstract Background The 2009 A/H1N1 influenza pandemic generated additional data and
triggered new studies that opened debate over the optimal strategy for handling a pandemic …

Optimal control can be of help to test and compare different vaccination strategies of a
certain disease. In this paper we propose the introduction of constraints involving state …

In this paper, the uncertainty quantification and sensitivity analysis of a mathematical model
of the SARS-CoV-2 virus transmission dynamics with mass vaccination strategy has been …

This document analyzes the role of data-driven methodologies in Covid-19 pandemic. We
provide a SWOT analysis and a roadmap that goes from the access to data sources to the …

A mathematical model for the transmission dynamics of the 2009 A/H1N1 influenza
epidemic in the Republic of Korea is developed. The simulation period is separated into …

Background: Significant uncertainty has existed about the safety of reopening college and
university campuses before the COVID-19 pandemic is better controlled. Moreover, little is …

Zika virus co-circulates with dengue in tropical and sub-tropical regions. Cases of co-
infection by dengue and Zika have been reported, the implication of this co-infection for an …

In this paper, a spectral approach is used to formulate and solve robust optimal control
problems for compartmental epidemic models, allowing the uncertainty propagation through …

In this paper, we have developed a compartment of epidemic model with vaccination. We
have divided the total population into five classes, namely susceptible, exposed, infective …