
About
Corrado Gioannini is a Senior Research Scientist at ISI Foundation in Turin, Italy, specializing in computational epidemiology and epidemic forecasting systems. With a physics background, he bridges theoretical modeling and public health applications through software development.
His research focuses on computational epidemiology, complex networks, and data-driven forecasting. Key interests include global disease spread modeling, real-time surveillance systems, and visualization tools for public health decision-making. He designs software frameworks like GLEAMviz to translate complex epidemic dynamics into actionable insights for researchers and policymakers.
Gioannini's publication record (2010-2025) shows consistent contributions to epidemic modeling, particularly in influenza and COVID-19. His work combines mobility data, network science, and computational tools to analyze intervention strategies, with high-impact publications in Nature and Science demonstrating practical applications for pandemic response.
He secures significant funding through EU projects including STAMINA, Epydemix, Influcast, and RespiCast. These initiatives develop open-source forecasting systems for respiratory diseases and pandemic management, emphasizing technical coordination across national and European health agencies.
Gioannini leads the GLEAM Project team responsible for the GLEAMviz simulator, an open platform used globally for epidemic scenario testing. His work prioritizes practical software solutions that enable real-time modeling of disease spread through intuitive interfaces and robust computational backends.
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