Models used by scientists to predict how epidemics will spread have a major flaw since they do not take into account the structure of the networks underlying transmission. According to a new study ...

In one worst-case scenario projected, more than 20,000 cases would occur within three months if only 1 in 5 infected people ...

Researchers are employing sparsification, a method from graph theory and computer science, to identify which links in a network are the most important for the spread of disease. Simulations that help ...

Epidemic modelling on complex networks integrates graph theory with infectious-disease dynamics to capture how heterogeneous contact patterns shape transmission and control. Traditional compartmental ...

Researchers have developed an innovative approach to epidemic modeling that could transform how scientists and policymakers predict the spread of infectious diseases. The study introduces a new ...

When an outbreak of an infectious disease begins to spread, policymakers face an unenviable challenge. They must decide when to intervene and how forcefully, knowing that their choices carry both ...

AI is a rapidly expanding and vibrant area of technological development with applications in a vast array of disciplines. From drug discovery to language processing to general pattern recognition, ...

Prevention of Renarcotization after Rescue from Opioid Overdose is a New Indication and Planned Clinical Studies will be Supported by Pioneering a First-of-Its-Kind, Capital Efficient, Modeling and ...

Simulations that help determine how a large-scale pandemic will spread can take weeks or even months to run. A recent study in PLOS Computational Biology offers a new approach to epidemic modeling ...