The SARS-CoV-2 pandemic has put unprecedented pressure on the hospital sector around
the world. It has shown the importance of preparing and planning in the future for an …

About a year into the pandemic, COVID-19 accumulates more than two million deaths
worldwide. Despite non-pharmaceutical interventions such as social distance, mask …

The spread of the emerging pathogen, named as SARS-CoV-2, has led to an
unprecedented COVID-19 pandemic since 1918 influenza pandemic. This review first sheds …

Recent literature has revealed a growing interest in methods for anticipating the demand for
medical items and personnel at hospital, especially during turbulent scenarios such as the …

Analyzing the COVID-19 pandemic is a critical factor in develo** effective policies to deal
with similar challenges in the future. However, many parameters (eg, the actual number of …

Epidemiological models usually contain a set of parameters that must be adjusted based on
available observations. Once a model has been calibrated, it can be used as a forecasting …

At the onset of the COVID‐19 pandemic, hospitals were in dire need of data‐driven analytics
to provide support for critical, expensive, and complex decisions. Yet, the majority of …

The COVID-19 disease constitutes a global health contingency. This disease has left
millions people infected, and its spread has dramatically increased. This study proposes a …

We introduce a Bayesian sequential data assimilation and forecasting method for non-
autonomous dynamical systems. We applied this method to the current COVID-19 …

We conducted an observational retrospective study on patients hospitalized with COVID-19,
during March 05, 2020, to October 28, 2021, and developed an agent-based model to …