People
Nicola Perra
FellowQueen Mary University of London
FellowQueen Mary University of London
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)
Addressing the socioeconomic divide in computational modeling for infectious diseases
Michele Tizzoni, Elaine O. Nsoesie, Laetitia Gauvin, Márton Karsai, Nicola Perra, Shweta Bansal
Nature Communication13, 2897 (2022)
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)
Infodemics: A new challenge for public health
Sylvie C. Briand, Matteo Cinelli, Tim Nguyen, Rosamund Lewis, Dimitri Prybylski, Carlo M. Valensise, Vittoria Colizza, Alberto Eugenio Tozzi, Nicola Perra, Andrea Baronchelli, Michele Tizzoni, Fabiana Zollo, Antonio Scala, Tina Purnat, Christine Czerniak, Adam Kucharski, Akhona Tshangela, Lei Zhou, Walter Quattrociocchi
Cell184, 25, 6010-6014 (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)
Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave
Jessica T. Davis, Matteo Chinazzi, Nicola Perra, Kunpeng Mu, Ana Pastore Y Piontti, Marco Ajelli, Natalie E. Dean, Corrado Gioannini, Maria Litvinova, Stefano Merler, Luca Rossi, Kaiyuan Sun, Xinyue Xiong, Ira M. Longini Jr, M. Elizabeth Halloran, Cécile Viboud, Alessandro Vespignani
Nature600, 127–132 (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)
Phase transitions in information spreading on structured populations
Jessica T. Davis, Nicola Perra, Qian Zhang, Yamir Moreno, Alessandro Vespignani
Nature Physics16, 590–596 (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)
Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age
Ana Pastore Y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani, Corrado Gioannini, Marcelo F. C. Gomes, Bruno Gonçalves
Springer Cham XVI, 209 (2018)
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)