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. Models used by scientists to ...

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 in spatial environments has evolved from traditional compartmental methods to incorporate the complexities of spatial heterogeneity and individual movement. This approach integrates ...

An international team of researchers have developed an innovative approach to epidemic modeling that could transform how scientists and policymakers predict the spread of infectious diseases. Led by ...

We reflect on epidemiological modeling conducted throughout the COVID-19 pandemic in Western Europe, specifically in Belgium, France, Italy, the Netherlands, Portugal, Switzerland, and the United ...