This article proposes a stochastic nonlinear model predictive controller to support
policymakers in determining robust optimal nonpharmaceutical strategies to tackle the …

The COVID-19 outbreak is deeply influencing the global social and economic framework,
due to restrictive measures adopted worldwide by governments to counteract the pandemic …

In this paper, a model predictive control approach is proposed for epidemic mitigation. The
disease spreading dynamics is described by an 8-compartment smooth nonlinear model of …

The effective control of the COVID-19 pandemic is one the most challenging issues of
nowadays. The design of optimal control policies is perplexed from a variety of social …

Globally, informed decision on the most effective set of restrictions for the containment of
COVID-19 has been the subject of intense debates. There is a significant need for a …

We propose a multitask learning approach to learn the parameters of a compartmental
discrete-time epidemic model from various data sources and use it to design optimal control …

Although social distancing can effectively contain the spread of infectious diseases by
reducing social interactions, it may have economic effects. Crises such as the COVID-19 …

The recent worldwide epidemic of Covid-19 disease, for which there is no vaccine or
medications to prevent or cure it, led to the adoption of public health measures by …

The novel coronavirus SARS-CoV-2 and resulting COVID-19 disease have had an
unprecedented spread and continue to cause an increasing number of fatalities worldwide …

The management of COVID-19 appears to be a long-term challenge, even in countries that
have managed to suppress the epidemic after their initial outbreak. In this paper, we …