People
Nicolò Gozzi
Senior Research Scientist
Senior Research Scientist
Fields Of StudyComputational Epidemiology, Digital Epidemiology, Network Science, Data Science
Website
Publications
Modeling teams performance using deep representational learning on graphs
Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella
EPJ Data Science13(7), (2024)
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
Matteo Chinazzi, Jessica T. Davis, Ana Pastore Y Piontti, Kunpeng Mu, Nicolò Gozzi, Marco Ajelli, Nicola Perra, Alessandro Vespignani
Epidemics47, 100757 (2024)
The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador
Nicolò Gozzi, Niccolò Comini, Nicola Perra
EPJ Data Science12, 18 (2023)
Modeling self-propagating malware with epidemiological models
Alesia Chernikova, Nicolò Gozzi, Nicola Perra, Simona Boboila, Tina Eliassi-Rad, Alina Oprea
Applied Network Science8, 52 (2023)
Estimating the impact of COVID-19 vaccine inequities: a modeling study
Nicolò Gozzi, Matteo Chinazzi, Natalie E. Dean, Ira M. Longini Jr, M. Elizabeth Halloran, Nicola Perra, Alessandro Vespignani
Nature Communications14, 3272 (2023)
Behavioral Changes Associated With COVID-19 Vaccination: Cross-National Online Survey
Alessandro De Gaetano, Paolo Bajardi, Nicolò Gozzi, Nicola Perra, Daniela Perrotta, Daniela Paolotti
Journal of Medical Internet Research (JMIR)25, e47563 (2023)
The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout
Nicolò Gozzi, Paolo Bajardi, Nicola Perra
PLoS Computational Biology17(9), e1009346 (2021)
Self-initiated behavioral change and disease resurgence on activity-driven networks
Nicolò Gozzi, Martina Scudeler, Daniela Paolotti, Andrea Baronchelli, Nicola Perra
Physical Review E104, 014307 (2021)
Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile
Nicolò Gozzi, Michele Tizzoni, Matteo Chinazzi, Leonardo Adrian Ferres, Alessandro Vespignani, Nicola Perra
Nature Communications12, 2429 (2021)
Towards a data-driven characterization of behavioral changes induced by the seasonal flu
Nicolò Gozzi, Daniela Perrotta, Daniela Paolotti, Nicola Perra
PLoS Computational Biology16(5), e1007879 (2020)
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
Nicolò Gozzi, Michele Tizzani, Michele Starnini, Fabio Ciulla, Daniela Paolotti, André Panisson, Nicola Perra
Journal of Medical Internet Research22(10), e21597 (2020)
Modeling teams performance using deep representational learning on graphs
Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella
EPJ Data Science13(7), (2024)
A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US
Matteo Chinazzi, Jessica T. Davis, Ana Pastore Y Piontti, Kunpeng Mu, Nicolò Gozzi, Marco Ajelli, Nicola Perra, Alessandro Vespignani
Epidemics47, 100757 (2024)
The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador
Nicolò Gozzi, Niccolò Comini, Nicola Perra
EPJ Data Science12, 18 (2023)
Projects
AWaRe 1
A Global Low- and Middle-Income Country Primary Care (PC) Antimicrobial Stewardship Trial using the WHO AWaRe system
RespiCast
European Respiratory Diseases Forecasting Hub (RespiCast)
InfluCast
Influcast forecasts the evolution of influenza-like-illnesses by aggregating predictions from multiple models