Pandemics cause chaotic situations in supply chains (SC) around the globe, which can lead
towards survivability challenges. The ongoing COVID-19 pandemic is an unprecedented …

The recent coronavirus disease (COVID-19) outbreak has dramatically increased the public
awareness and appreciation of the utility of dynamic models. At the same time, the …

In this paper, we study the effectiveness of the modelling approach on the pandemic due to
the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed …

On the responsible use of digital data to tackle the COVID-19 pandemic | Nature Medicine Skip
to main content Thank you for visiting nature.com. You are using a browser version with limited …

Several outbreak prediction models for COVID-19 are being used by officials around the
world to make informed decisions and enforce relevant control measures. Among the …

The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …

Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …

Time series analysis has proven to be a powerful method to characterize several
phenomena in biology, neuroscience and economics, and to understand some of their …

The COVID-19 epidemic hit Italy particularly hard, yielding the implementation of strict
national lockdown rules. Previous modelling studies at the national level overlooked the fact …

Artificial intelligence (AI) techniques have been widely applied to infectious disease
outbreak detection and early warning, trend prediction, and public health response …