As the world becomes ever more connected, the chance of pandemics increases as well.
The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides …

This paper considers the problem of patient scheduling and capacity planning for the
vaccination process during the COVID-19 pandemic. The proposed solution is based on a …

We evaluate the efficiency of various heuristic strategies for allocating vaccines against
COVID-19 and compare them to strategies found using optimal control theory. Our approach …

Marginalized racial and ethnic groups in the United States were disproportionally affected by
the COVID-19 pandemic. To study these disparities, we construct an age-and-race-stratified …

As COVID-19 vaccines became widely available worldwide, many countries implemented
vaccination certification, also known as a “green pass”, to promote and expedite vaccination …

Motivated by the COVID‐19 pandemic, we study how a public health authority may allocate
vaccines from a limited stockpile to different jurisdictions over time. We propose an …

We analyze the effectiveness of the first six months of vaccination campaign against SARS-
CoV-2 in Italy by using a computational epidemic model which takes into account …

In the context of SARS-CoV-2 pandemic, mathematical modelling has played a fundamental
role for making forecasts, simulating scenarios and evaluating the impact of preventive …

In this paper, a decision support system (DSS) is presented that focuses on the capacity
planning of the COVID-19 vaccination process in the Netherlands. With the Dutch national …

The COVID-19 pandemic highlighted the pivotal role of transportation-related controls and
vaccination in mitigating widespread infections. However, the substantial costs associated …