We are a research group at the Department of Molecular Medicine of the University of Padova in Italy. We combine complex-system physics, heavy computation and epidemiology to study the drivers of pathogens' spread in human and animal populations.
highlights
may-2025: Network structure induced bias in estimates of intrinsic generation times. New pre-print out on medRxiv.
may-2025: Evaluating the impact of the Malakit intervention on malaria transmission in the Guiana Shield: a mathematical modelling study now published on The Lancet Regional Health Americas.
mar-2025: Ioannis has joined the team as a master student in physics. He will work on the analysis of multi-pathogen systems in collaboration with the LIPH.
apr-2025: Congrats to Lorenzo Luzzi who has obtained his master degree in mathematics. Lorenzo has worked on the thesis "Biased epidemic analysis due to heterogenous and partial surveillance: a study on deterministic and stochastic multi-class models for epidemic dynamics" have a look at his thesis online.
mar-2025: Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers’ perspective. New pre-print out on medRxiv.
jan-2025: Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation is now published on PNAS Nexus.
fall-2024: the networks and disease ecology team is joining the influcast hub for the forecast of the seasonal influenza circulation in Italy. During the 2024-2025 season we will provide, together with other Italian teams, weekly model projections of future trends of influenza-like-illnesses.
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