Nicola Perra



Addressing the socioeconomic divide in computational modeling for infectious diseases

M. Tizzoni, E. O. Nsoesie, L. E. Gauvin, M. Karsai, N. Perra, S. Bansal
Nature Communication 13, 2897 (2022)

Infodemics: A new challenge for public health

S. C. Briand, M. Cinelli, T. Nguyen, R. Lewis, D. Prybylski, C. M. Valensise, V. Colizza, A. E. Tozzi, N. Perra, A. Baronchelli, M. Tizzoni, F. Zollo, A. Scala, T. Purnat, C. Czerniak, A. J. Kucharski, A. Tshangela, L. Zhou, W. Quattrociocchi
Cell 184 (25) (2021)

Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave

J. T. Davis, M. Chinazzi, N. Perra, K. Mu, A. Pastore Y Piontti, M. Ajelli, N. E. Dean, C. Gioannini, M. Litvinova, S. Merler, L. Rossi, K. Sun, X. Xiong, I. M. Longini Jr., M. E. Halloran, C. Viboud, A. Vespignani
Nature (2021)

The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout

N. Gozzi, P. Bajardi, N. Perra
PLoS Computational Biology 17(9): e1009346 (2021)

Self-initiated behavioral change and disease resurgence on activity-driven networks

N. Gozzi, M. Scudeler, D. Paolotti, A. Baronchelli, N. Perra
Physical Review E 104, 014307 (2021)

Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile

N. Gozzi, M. Tizzoni, M. Chinazzi, L. Ferres, A. Vespignani, N. Perra
Nature Communications 12:2429 (2021)

Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis

N. Gozzi, M. Tizzani, M. Starnini, F. Ciulla, D. Paolotti, A. Panisson, N. Perra
Journal of Medical Internet Research 22 (10) (2020)

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

N. Gozzi, D. Perrotta, D. Paolotti, N. Perra
PLOS Computational Biology 16(5): e1007879 (2020)

Phase transitions in information spreading on structured populations

J. Davis, N. Perra, Q. Zhang, Y. Moreno, A. Vespignani
Nature Physics 16 (5) (2020)

Spreading of computer viruses on time-varying networks

T. Brett, G. Loukas, Y. Moreno, N. Perra
Physical Review E 99, 050303 (2019)

Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age

A. Pastore Y Piontti, N. Perra, L. Rossi, N. Samay, A. Vespignani, C. Gioannini, B. Goncalves, M. C. Gomes
Springer International Publishing (2018)

Resilience management during large-scale epidemic outbreaks

E. Massaro, A. Ganin, N. Perra, I. Linkov, A. Vespignani
Scientific Reports 8 / 1859 (2018)

Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches

J. S. Brownstein, S. Chu, A. Marathe, M. V. Marathe, A. T. Nguyen, D. Paolotti, N. Perra, D. Perrotta, M. Santillana, S. Swarup, M. Tizzoni, A. Vespignani, A. K. Vullikanti, M. L. Wilson, Q. Zhang
JMIR Public Health and Surveillance 3, No 4 Oct-Dec (2017)

Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model

Q. Zhang, N. Perra, D. Perrotta, M. Tizzoni, D. Paolotti, A. Vespignani
Proceeding of the 26th International Conference on World Wide Web (WWW) (2017)

Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation

E. Ubaldi, N. Perra, M. Karsai, A. Vezzani, R. Burioni, A. Vespignani
Scientific Reports 6: 35724. (2016)

The dynamics of information-driven coordination phenomena: A transfer entropy analysis

J. Borge-Holthoefer, N. Perra, B. Gonçalves, S. González-Bailón,, A. Arenas, Y. Moreno, A. Vespignani
Science Advances 2, 4 (2016)

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform

Q. Zhang, C. Gioannini, D. Paolotti, N. Perra, D. Perrotta, M. Quaggiotto, M. Tizzoni, A. Vespignani
Lecture Notes in Computer Science 9286 (2015)

Time varying networks and the weakness of strong ties

M. Karsai, N. Perra, A. Vespignani
Scientific Reports 4 (2014)

Damage detection via shortest-path network sampling

F. Ciulla, N. Perra, A. Baronchelli, A. Vespignani
Phys. Rev. E 052816 (2014)

Controlling Contagion Processes in Activity Driven Networks

S. Liu, N. Perra, M. Karsai, A. Vespignani
Phys. Rev. Lett. 112 (2014)

The infection tree of global epidemics

A. Pastore Y Piontti, M. Ferreira da Costa Gomes, N. Samay, N. Perra, A. Vespignani
Network Science 2,1 (2014)

Controlling Contagion Processes in Time-Varying Networks

N. Perra, S. Liu, M. Karsai, A. Vespignani
Bulletin of the APS, March Meeting 2014 59,1 (2014)

Characterizing scientific production and consumption in Physics

Q. Zhang, N. Perra, B. Gonçalves, F. Ciulla, A. Vespignani
Scientific Reports 3 (2013)

Walking and searching in time-varying networks

N. Perra, A. Baronchelli, D. Moncanu, B. Gonçalves, R. Pastor-Satorras, A. Vespignani
American Physical Society 58 (2013)

The Twitter of Babel: Mapping World Languages through Microblogging Platforms

D. Moncanu, A. Baronchelli, N. Perra, B. Gonçalves, Q. Zhang, A. Vespignani
PLoS ONE 8 (2013)

Beating the news using social media: the case study of American Idol

F. Ciulla, D. Moncanu, A. Baronchelli, B. Gonçalves, N. Perra, A. Vespignani
EPJ Data Science 1 (1) (2012)

Random walks and search in time-varying networks

N. Perra, A. Baronchelli, D. Moncanu, B. Gonçalves, R. Pastor-Satorras, A. Vespignani
Physical Review Letters 109 (2012)

Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm

M. Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Gonçalves, N. Perra, V. Colizza, A. Vespignani
BMC Medicine 10:165 (2012)

Activity driven modeling of time-varying networks

N. Perra, B. Gonçalves, R. Pastor-Satorras, A. Vespignani
Scientific Reports 2 469 (2012)

Towards a Characterization of Behavior-Disease Models

N. Perra, D. Balcan, B. Gonçalves, A. Vespignani
PLoS ONE 6(8): e23084 (2011)

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility

D. Balcan, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
BMC Medicine 7:45 (2009)

Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model

V. Colizza, A. Vespignani, N. Perra, C. Poletto, B. Gonçalves, H. Hu, D. Balcan, D. Paolotti, W. Van den Broeck, M. Tizzoni, P. Bajardi, J. J. Ramasco
Public Library of Science Currents: Influenza. RRN1129 (2009)

Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic

D. Balcan, V. Colizza, A. Singer, C. Chouaid, H. Hu, B. Gonçalves, P. Bajardi, C. Poletto, J. J. Ramasco, N. Perra, M. Tizzoni, D. Paolotti, W. Van den Broeck, A. Valleron, A. Vespignani
PLoS Current Influenza 1133 (2009)

Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere

P. Bajardi, C. Poletto, D. Balcan, H. Hu, B. Gonçalves, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
Emerging Health Threats Journal 2:e11 (2009)