networks in disease ecology

network epidemiology, network physics, disease ecology, outbreak analysis

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

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.

12-sep-2024: Benjmin Faucher has defended his thesis on the modelling of COVID-19 spread. Benjamin has analysed the impact of reactive vaccination against COVID-19 surge and the international dissemination of Alpha. Check out his thesis and the thread on bluesky. Congrats Benjamin!

sep-2024: Chiara and Marika have attended CCS24 in Exter with a contributed and an invited talk, respectivelly. Marika has presented her work on modelling multiple interacting pathogens, while Chiara has given an overview of recent work of the lab at the satellite Epinext.

mar-2024: Lorenzo has joined the team as a master student. He will work on the impact of surveillance on outbreak assessment.

Aug-2024: Characterization and forecast of global influenza (sub)type dynamics. New pre-print out on medRxiv.

1-jul-2024: Francesco Bonacina has defended his thesis and has become a PhD! Francesco has worked across IPLESP and LPSM to develop advanced statistical approaches for the global analysis of influenza virus circulation. He has analysed the influenza drop during COVID-19 and the global influenza (sub)type dynamics Check out his thesis and the thread.

mar-2024: Razieh has joined us as a research fellow. She will work on the computational modelling of seasonal respiratory infections.

highlights