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 …

Existing compartmental-logistics models in epidemics control are limited in terms of
optimizing the allocation of vaccines and treatment resources under a risk-averse objective …

The optimal allocation of vaccines to population subgroups over time is a challenging health
care management problem. In the context of a pandemic, the interaction between …

In this article, we consider a decision process in which vaccination is performed in two
phases to contain the outbreak of an infectious disease in a set of geographic regions. In the …

We present a new method for solving stochastic programs with joint chance constraints with
random technology matrices and discretely distributed random data. The problem can be …

We study resource planning strategies, including the integrated healthcare resources'
allocation and sharing as well as patients' transfer, to improve the response of health …

We present a stochastic programming framework for finding the optimal vaccination policy
for controlling infectious disease epidemics under parameter uncertainty. Stochastic …

There is a concerted effort to develop vaccines to combat the public health crisis caused by
COVID-19. Health experts are raising questions concerning the clinical trials, price and …

Vaccination is one of the most efficient ways to restrict and control the spread of epidemic
outbreaks such as COVID-19. Due to the limited COVID-19 vaccine supply, an equitable and …

Since the recent introduction of several viable vaccines for SARS-CoV-2, vaccination uptake
has become the key factor that will determine our success in containing the COVID-19 …