The recent (and still ongoing) Covid-19 pandemic dramatically brought to the world attention the importance of mathematical modeling for the spread of viral diseases as an invaluable tool to support and guide the political decision in public health. Accurately predicting the spread and transmission of a viral disease, taking into account its evolution in time is a very challenging task. Population heterogeneity and other epidemic-influencing factors such as the presence of subpopulations with pre-existing underlying conditions, or the virus differentiation in multiple strains with different levels of infectiousness yield to potentially very complicated models.
The aim of this workshop is to gather experts in the mathematical and statistical modeling of epidemics to share their advancements from both the modeler and the public health perspective.
Forschungs-