3 papers
physics.soc-ph2021
Individual- and pair-based models of epidemic spreading: master equations and analysis of their forecasting capabilities
Federico Malizia, Luca Gallo, Mattia Frasca +2
Mathematical modeling of disease spreading plays a crucial role in understanding, controlling and preventing epidemic outbreaks. In a microscopic description of the propagation of…
physics.soc-ph2021
Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Luca Gallo, Mattia Frasca, Vito Latora +1
Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of such models need to be estimated from the data. Furt…
q-bio.CB2019
A Multi-agent approach for simulations of micro-biological systems
Daniele Proverbio, Luca Gallo, Barbara Passalacqua +2
Using a Multi-agent systems paradigm, the present project develops, validates and exploits a computational that simulates micro-biological complex systems, namel…