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Research

Publications: DR Nicola Perra

Gozzi N, Perra N ( 2025 ) . Controlling the spread of deception-based cyber-threats on time-varying networks . Physical Review E vol. 112 , ( 6 )
Perra N ( 2025 ) . Modeling the spreading of infectious diseases in the digital age . Handbook of Computational Social Science , Edward Elgar Publishing
Gozzi N, Chinazzi M, Davis JT, Gioannini C, Rossi L, Ajelli M, Perra N, Vespignani A ( 2025 ) . Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration . PLOS Computational Biology vol. 21 , ( 11 )
Manna A, Karsai M, Perra N ( 2025 ) . Social inequalities in vaccine coverage and their effects on epidemic spreading . PLOS Computational Biology vol. 21 , ( 10 )
Gozzi N, Perra N ( 2025 ) . Controlling the spread of deception-based cyber-threats on time-varying networks .
Li Y, Gozzi N, Perra N ( 2025 ) . Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout . PLOS Computational Biology vol. 21 , ( 7 )
Gozzi N, Perra N, Vespignani A ( 2025 ) . Comparative evaluation of behavioral epidemic models using COVID-19 data . Proceedings of the National Academy of Sciences of the United States of America vol. 122 , ( 24 ) e2421993122 - e2421993122 .
Fiandrino S, Bizzotto A, Guzzetta G, Merler S, Baldo F, Valdano E, Urdiales AM, Bella A et al. ( 2025 ) . Collaborative forecasting of influenza-like illness in Italy: The Influcast experience . Epidemics vol. 50 ,
Gozzi N, Chinazzi M, Davis JT, Mu K, Pastore Y Piontti A, Ajelli M, Vespignani A ( 2024 ) . Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach . Epidemics vol. 49 ,
Gozzi N, Comini N, Perra N ( 2024 ) . Bridging the digital divide: mapping Internet connectivity evolution, inequalities, and resilience in six Brazilian cities . EPJ Data Science vol. 13 , ( 1 ) 69 - 69 .
Li Y, Gozzi N, Perra N ( 2024 ) . Estimating behavioural relaxation induced by COVID-19 vaccines in the first months of their rollout . Plos Computational Biology2024.11.07.24316893 - 2024.11.07.24316893 .
Manna A, Dall’Amico L, Karsai M ( 2024 ) . Generalized contact matrices allow integrating socioeconomic variables into epidemic models . Science Advances vol. 10 , ( 41 )
Fiandrino S, Bizzotto A, Guzzetta G, Merler S, Baldo F, Valdano E, Urdiales AM, Bella A et al. ( 2024 ) . Collaborative forecasting of influenza-like illness in Italy: the Influcast experience .
Gozzi N, Comini N ( 2024 ) . Bridging the Digital Divide: Mapping Internet Connectivity Evolution, Inequalities, and Resilience in six Brazilian Cities .
Chinazzi M, Davis JT, Y Piontti AP, Mu K, Ajelli M, Perra N ( 2024 ) . A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US . Epidemics vol. 47 ,
Carli F, Foini P, Gozzi N ( 2024 ) . Modeling teams performance using deep representational learning on graphs . EPJ Data Science vol. 13 , ( 1 ) Article 7 ,
Gao S, Dai X, Wang L, Perra N ( 2023 ) . Epidemic Spreading in Metapopulation Networks Coupled With Awareness Propagation . IEEE Transactions on Cybernetics vol. 53 , ( 12 ) 7686 - 7698 .
Sun K, Ubaldi E, Zhang J, Perra N ( 2023 ) . The Effects of Local and Global Link Creation Mechanisms on Contagion Processes Unfolding on Time-Varying Networks . Temporal Network Theory , Springer Nature
De Gaetano A, Bajardi P, Gozzi N, Perra N, Perrotta D ( 2023 ) . Behavioral Changes Associated With COVID-19 Vaccination: Cross-National Online Survey . Journal of Medical Internet Research vol. 25 ,
Jaramillo AM, Perra N ( 2023 ) . The structure of segregation in co-authorship networks and its impact on scientific production . EPJ Data Science vol. 12 , ( 1 )
Di Bona G, Bracci A, Perra N, Baronchelli A ( 2023 ) . The Concept of Decentralization Through Time and Disciplines: A Quantitative Exploration .
Di Bona G, Bracci A, Perra N, Latora V ( 2023 ) . The concept of decentralization through time and disciplines: a quantitative exploration . EPJ Data Science vol. 12 , ( 1 )
Chernikova A, Gozzi N, Perra N, Boboila S, Eliassi-Rad T, Oprea A ( 2023 ) . Modeling self-propagating malware with epidemiological models . Applied Network Science vol. 8 , ( 1 ) 52 - 52 .
Chernikova A, Gozzi N, Boboila S, Perra N ( 2023 ) . Modeling Self-Propagating Malware with Epidemiological Models .
Manna A, Dall'Amico L, Tizzoni M, Karsai M, Perra N ( 2023 ) . Generalized contact matrices for epidemic modeling .
Gozzi N, Chinazzi M, Dean NE, Longini Jr IM ( 2023 ) . Estimating the impact of COVID-19 vaccine inequities: a modeling study . Nature Communications vol. 14 , ( 1 )
Gozzi N, Comini N, Perra N ( 2023 ) . The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 Pandemic in Colombia, Ecuador, and El Salvador . EPJ Data Science
Gozzi N, Comini N, Perra N ( 2023 ) . The adoption of non-pharmaceutical interventions and the role of digital infrastructure during the COVID-19 pandemic in Colombia, Ecuador, and El Salvador . EPJ Data Science vol. 12 , ( 1 ) Article 18 ,
Gozzi N, Chinazzi M, Dean NE, Longini IM, Perra N ( 2022 ) . Estimating the impact of COVID-19 vaccine allocation inequities: a modeling study .
Chernikova A, Gozzi N, Boboila S, Loughner J, Wilden M, Perra N ( 2022 ) . Cyber Network Resilience against Self-Propagating Malware Attacks .
Bracci A, Boehnke J, ElBahrawy A, Perra N, Teytelboym A ( 2022 ) . Macroscopic properties of buyer–seller networks in online marketplaces . PNAS Nexus vol. 1 , ( 4 )
Chernikova A, Gozzi N, Boboila S, Angadi P, Loughner J, Perra N ( 2022 ) . Cyber Network Resilience Against Self-Propagating Malware Attacks . Computer Security – ESORICS 2022 , vol. 13554 , Springer Nature
Carli F, Foini P, Gozzi N, Perra N ( 2022 ) . Modeling Teams Performance Using Deep Representational Learning on Graphs .
Gozzi N, Chinazzi M, Mu K, Pastore y Piontti A ( 2022 ) . Anatomy of the first six months of COVID-19 vaccination campaign in Italy . PLOS Computational Biology vol. 18 , ( 5 )
Tizzoni M, Nsoesie EO, Gauvin L, Perra N ( 2022 ) . Addressing the socioeconomic divide in computational modeling for infectious diseases . Nature Communications vol. 13 , ( 1 )
Bracci A, Boehnke J, ElBahrawy A ( 2022 ) . Macroscopic properties of buyer-seller networks in online marketplaces .
Briand SC, Cinelli M, Nguyen T, Lewis R, Prybylski D, Valensise CM, Colizza V, Tozzi AE et al. ( 2021 ) . Infodemics: A new challenge for public health . Cell vol. 184 , ( 25 ) 6010 - 6014 .
Davis JT, Chinazzi M, Perra N, Pastore y Piontti A, Ajelli M, Dean NE, Gioannini C, Litvinova M et al. ( 2021 ) . Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave . Nature vol. 600 , ( 7887 ) 127 - 132 .
Cronin B, Perra N, Rocha LEC, Zhu Z, Gorgoni S ( 2021 ) . Ethical implications of network data in business and management settings . Social Networks vol. 67 , 29 - 40 .
Gozzi N, Bajardi P, Perra N ( 2021 ) . The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout . PLOS Computational Biology vol. 17 , ( 9 )
Gozzi N, Scudeler M, Perra N ( 2021 ) . Self-initiated behavioral change and disease resurgence on activity-driven networks . Physical Review E vol. 104 , ( 1 )
Gozzi N, Tizzoni M, Chinazzi M, Vespignani A ( 2021 ) . Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile . Nature Communications vol. 12 , ( 1 )
Davis JT, Chinazzi M, Perra N, Mu K, Pastore y Piontti A, Dean NE, Gioannini C, Litvinova M et al. ( 2021 ) . Cryptic transmission of SARS-CoV-2 and the first COVID-19 wave in Europe and the United States .
Perra N ( 2021 ) . Non-pharmaceutical interventions during the COVID-19 pandemic: A review . Physics Reports vol. 913 , 1 - 52 .
Perra N ( 2020 ) . Non-pharmaceutical interventions during the COVID-19 pandemic: a rapid review .
Gozzi N, Scudeler M, Paolotti D, Baronchelli A ( 2020 ) . Self-initiated behavioural change and disease resurgence on activity-driven networks .
Gozzi N, Tizzani M, Starnini M, Ciulla F, Paolotti D, Panisson A ( 2020 ) . Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis . Journal of Medical Internet Research vol. 22 , ( 10 )
Davis JT, Chinazzi M, Perra N, Mu K, Pastore y Piontti A, Ajelli M, Dean NE, Litvinova M et al. ( 2020 ) . Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA .
Shah C, Dehmamy N, Perra N, Chinazzi M, Barabási A-L, Vespignani A ( 2020 ) . Finding Patient Zero: Learning Contagion Source with Graph Neural Networks .
Gozzi N, Tizzani M, Starnini M, Ciulla F, Panisson A ( 2020 ) . Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia .
Gozzi N, Perrotta D, Paolotti D ( 2020 ) . Towards a data-driven characterization of behavioral changes induced by the seasonal flu . PLOS Computational Biology vol. 16 , ( 5 )
Davis JT, Perra N, Moreno Y ( 2020 ) . Phase transitions in information spreading on structured populations . Nature Physics vol. 16 , ( 5 ) 590 - 596 .
Gozzi N, Perrotta D, Paolotti D ( 2020 ) . Towards a data-driven characterization of behavioral changes induced by the seasonal flu .
Sun K, Ubaldi E, Karsai M, Perra N ( 2019 ) . The Effects of Local and Global Link Creation Mechanisms on Contagion Processes Unfolding on Time-Varying Networks . Temporal Network Theory , Springer Nature
Aleta A, Meloni S ( 2019 ) . Explore with caution: mapping the evolution of scientific interest in physics . EPJ Data Science vol. 8 , ( 1 )
Brett T, Loukas G, Moreno Y ( 2019 ) . Spreading of computer viruses on time-varying networks . Physical Review E vol. 99 , ( 5 )
Perra N, Rocha LEC ( 2019 ) . Modelling opinion dynamics in the age of algorithmic personalisation . Scientific Reports vol. 9 , ( 1 )
Aleta A, Meloni S, Perra N ( 2019 ) . Explore with caution: mapping the evolution of scientific interest in Physics .
Brett T, Loukas G, Moreno Y ( 2019 ) . The spreading of computer viruses on time-varying networks .
Pastore y Piontti A, Perra N, Rossi L ( 2019 ) . Charting the Next Pandemic, Modeling Infectious Disease Spreading in the Data Science Age . Springer Nature
Liu Q-H, Xiong X, Zhang Q ( 2018 ) . Epidemic spreading on time-varying multiplex networks . Physical Review E vol. 98 , ( 6 )
Perra N, Rocha LEC ( 2018 ) . Modelling Opinion Dynamics in the Age of Algorithmic Personalisation .
Liu Q-H, Xiong X, Zhang Q, Perra N ( 2018 ) . Epidemic spreading on time-varying multiplex networks .
Weng L, Karsai M, Perra N ( 2018 ) . Attention on Weak Ties in Social and Communication Networks . Complex Spreading Phenomena in Social Systems , Springer Nature
Nadini M, Sun K, Ubaldi E, Starnini M ( 2018 ) . Epidemic spreading in modular time-varying networks . Scientific Reports vol. 8 , ( 1 )
Massaro E, Ganin A, Perra N ( 2018 ) . Resilience management during large-scale epidemic outbreaks . Scientific Reports vol. 8 , ( 1 )
Massaro E, Perra N, Vespignani A ( 2018 ) . Resilience management during large-scale epidemic outbreaks .
Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perrotta D, Vespignani A et al. ( 2017 ) . Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches . JMIR Public Health and Surveillance vol. 3 , ( 4 )
Pozzana I, Sun K ( 2017 ) . Epidemic spreading on activity-driven networks with attractiveness . Physical Review E vol. 96 , ( 4 )
Karsai M ( 2017 ) . Control Strategies of Contagion Processes in Time-Varying Networks . Temporal Network Epidemiology , Springer Nature
Nadini M, Sun K, Ubaldi E, Rizzo A ( 2017 ) . Epidemic spreading in modular time-varying networks .
Pozzana I, Sun K ( 2017 ) . Epidemic Spreading on Activity-Driven Networks with Attractiveness .
Weng L, Karsai M, Menczer F ( 2017 ) . Attention on Weak Ties in Social and Communication Networks .
Alessandretti L, Sun K, Baronchelli A ( 2017 ) . Random walks on activity-driven networks with attractiveness .
Alessandretti L, Baronchelli A ( 2017 ) . Random walks on activity-driven networks with attractiveness . Physical Review E vol. 95 , ( 5 )
Ubaldi E, Vezzani A, Karsai M, Perra N ( 2017 ) . Burstiness and tie activation strategies in time-varying social networks . Scientific Reports vol. 7 , ( 1 )
Zhang Q, Perra N, Perrotta D, Tizzoni M ( 2017 ) . Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model . Conference: Proceedings of the 26th International Conference on World Wide Web311 - 319 .
Bajardi P, Poletto C, Balcan D, Hu H, Goncalves B, Ramasco JJ, Paolotti D, Perra N et al. ( 2017 ) . Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere . Emerging Health Threats Journal vol. 2 , ( 1 )
Wang Z, Bauch CT, Bhattacharyya S, d’Onofrio A, Manfredi P, Perc M, Perra N, Salathé M ( 2016 ) . Statistical physics of vaccination . Physics Reports vol. 664 , 1 - 113 .
Wang Z, Bauch CT, Bhattacharyya S, d'Onofrio A, Manfredi P, Perc M, Perra N ( 2016 ) . Statistical physics of vaccination .
Ubaldi E, Perra N, Karsai M, Vezzani A, Burioni R ( 2016 ) . Asymptotic theory of time-varying social networks with heterogeneous activity and tie allocation . Scientific Reports vol. 6 , ( 1 )
Perra N ( 2016 ) . The spreading of infectious diseases in modern socio-technical systems Comment on “Pattern transitions in spatial epidemics: Mechanisms and emergent properties” by Gui-Quan Sun et al . Physics of Life Reviews vol. 19 , 87 - 89 .
Ubaldi E, Vezzani A, Karsai M, Perra N ( 2016 ) . Burstiness and tie reinforcement in time varying social networks .
Biggerstaff M, Alper D, Dredze M, Fox S, Fung IC-H, Hickmann KS, Lewis B, Rosenfeld R et al. ( 2016 ) . Results from the centers for disease control and prevention’s predict the 2013–2014 Influenza Season Challenge . BMC Infectious Diseases vol. 16 , ( 1 )
Borge-Holthoefer J, Perra N, Gonçalves B, Arenas A, Moreno Y ( 2016 ) . The dynamics of information-driven coordination phenomena: A transfer entropy analysis . Science Advances vol. 2 , ( 4 )
Sun K, Baronchelli A ( 2015 ) . Contrasting effects of strong ties on SIR and SIS processes in temporal networks . The European Physical Journal B vol. 88 , ( 12 )
Garcia D, Halegoua G, Mejova Y, Perra N, Pfeffer J, Weber I, Zia L ( 2015 ) . Reports of the 2015 Workshops Held at the International AAAI Conference on Web and Social Media . AI Magazine . vol. 36 , 119 - 123 .
Mistry D, Zhang Q, Perra N, Baronchelli A ( 2015 ) . Committed activists and the reshaping of status-quo social consensus .
Tizzoni M, Sun K, Karsai M ( 2015 ) . The Scaling of Human Contacts and Epidemic Processes in Metapopulation Networks . Scientific Reports vol. 5 , ( 1 )
Mistry D, Zhang Q, Baronchelli A ( 2015 ) . Committed activists and the reshaping of status-quo social consensus . Physical Review E vol. 92 , ( 4 )
Ubaldi E, Perra N, Karsai M, Vezzani A ( 2015 ) . Asymptotic theory for the dynamic of networks with heterogenous social capital allocation .
Zhang Q, Gioannini C, Paolotti D, Perra N, Perrotta D, Tizzoni M ( 2015 ) . Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform . Lecture Notes in Computer Science . vol. 9286 , 237 - 240 .
Borge-Holthoefer J, Perra N, Gonçalves B, González-Bailón S, Arenas A, Vespignani A ( 2015 ) . The dynamic of information-driven coordination phenomena: a transfer entropy analysis .
Sun K, Baronchelli A ( 2015 ) . Contrasting Effects of Strong Ties on SIR and SIS Processes in Temporal Networks .
Perra N, Gonçalves B ( 2015 ) . Modeling and Predicting Human Infectious Diseases . Social Phenomena , Springer Nature
Dunne C, Muller M, Perra N ( 2015 ) . VoroGraph . Conference: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems255 - 258 .
Gonçalves B, Perra N ( 2015 ) . Introduction . Social Phenomena , Springer Nature
Gonçalves B, Karsai M ( 2015 ) . Preface . Aaai Workshop Technical Report . vol. WS-15-17 ,
Gonçalves B ( 2015 ) . Social phenomena: From data analysis to models .
Tizzoni M, Sun K, Benusiglio D ( 2014 ) . The Scaling of Human Contacts in Reaction-Diffusion Processes on Heterogeneous Metapopulation Networks .
Tomasello MV, Perra N, Tessone CJ, Karsai M ( 2014 ) . The role of endogenous and exogenous mechanisms in the formation of R&D networks .
Tomasello MV, Perra N, Karsai M, Schweitzer F ( 2014 ) . The role of endogenous and exogenous mechanisms in the formation of R&D networks . Scientific Reports vol. 4 , ( 1 )
Ciulla F, Perra N, Baronchelli A ( 2014 ) . Damage detection via shortest-path network sampling . Physical Review E vol. 89 , ( 5 )
PIONTTI APY, DA COSTA GOMES MF, SAMAY N, PERRA N ( 2014 ) . The infection tree of global epidemics . Network Science vol. 2 , ( 1 ) 132 - 137 .
Liu S, Perra N, Karsai M ( 2014 ) . Controlling Contagion Processes in Activity Driven Networks . Physical Review Letters vol. 112 , ( 11 )
Karsai M, Vespignani A ( 2014 ) . Time varying networks and the weakness of strong ties .
Karsai M, Perra N ( 2014 ) . Time varying networks and the weakness of strong ties . Scientific Reports vol. 4 , ( 1 )
Ciulla F, Perra N, Baronchelli A ( 2014 ) . Damage detection via shortest path network sampling .
Ribeiro B, Baronchelli A ( 2013 ) . Quantifying the effect of temporal resolution on time-varying networks .
Ribeiro B, Baronchelli A ( 2013 ) . Quantifying the effect of temporal resolution on time-varying networks . Scientific Reports vol. 3 , ( 1 )
Liu S, Perra N, Karsai M ( 2013 ) . Controlling Contagion Processes in Time-Varying Networks .
Gonçalves B, Perra N ( 2013 ) . Social Networks, Contagion Processes and the Spreading of Infectious Diseases . Handbook of Systems Biology ,
Weng L, Ratkiewicz J, Perra N, Gonçalves B, Castillo C, Bonchi F ( 2013 ) . The role of information diffusion in the evolution of social networks . Conference: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining356 - 364 .
Weng L, Ratkiewicz J, Perra N, Gonçalves B, Bonchi F, Schifanella R, Flammini A ( 2013 ) . The Role of Information Diffusion in the Evolution of Social Networks .
Mocanu D, Baronchelli A, Perra N, Gonçalves B, Zhang Q ( 2013 ) . The Twitter of Babel: Mapping World Languages through Microblogging Platforms . PLOS ONE vol. 8 , ( 4 )
Zhang Q, Perra N, Ciulla F ( 2013 ) . Characterizing scientific production and consumption in Physics . Scientific Reports vol. 3 , ( 1 )
Liu S, Baronchelli A ( 2013 ) . Contagion dynamics in time-varying metapopulation networks .
Liu S-Y, Baronchelli A, Perra N ( 2013 ) . Contagion dynamics in time-varying metapopulation networks . Physical Review E vol. 87 , ( 3 )
Zhang Q, Perra N, Goncalves B, Vespignani A ( 2013 ) . Characterizing scientific production and consumption in Physics .
Perra N, Mocanu D, Gonçalves B ( 2013 ) . Random walks and search in time-varying networks .
Gonçalves B, Perra N ( 2013 ) . Chapter 27 Social Networks, Contagion Processes and the Spreading of Infectious Diseases . Handbook of Systems Biology , Elsevier
Mocanu D, Baronchelli A, Gonçalves B ( 2012 ) . The Twitter of Babel: Mapping World Languages through Microblogging Platforms .
Tizzoni M, Bajardi P, Poletto C, Ramasco JJ, Balcan D, Gonçalves B ( 2012 ) . Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm . BMC Medicine vol. 10 , ( 1 )
Perra N, Baronchelli A, Gonçalves B ( 2012 ) . Random Walks and Search in Time-Varying Networks . Physical Review Letters vol. 109 , ( 23 )
Perra N ( 2012 ) . Modeling Contact and Mobility Based Social Response to the Spreading of Infectious Diseases . Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases , Springer Nature
Ciulla F, Mocanu D, Baronchelli A, Gonçalves B ( 2012 ) . Beating the news using social media: the case study of American Idol . EPJ Data Science vol. 1 , ( 1 )
Perra N, Gonçalves B, Pastor-Satorras R ( 2012 ) . Activity driven modeling of time varying networks .
Perra N, Gonçalves B ( 2012 ) . Activity driven modeling of time varying networks . Scientific Reports vol. 2 , ( 1 )
Ciulla F, Mocanu D, Baronchelli A, Gonçalves B ( 2012 ) . Beating the news using Social Media: the case study of American Idol .
Meloni S, Perra N, Arenas A, Gómez S, Moreno Y ( 2011 ) . Modeling human mobility responses to the large-scale spreading of infectious diseases . Scientific Reports vol. 1 , ( 1 )
Gonçalves B, Perra N ( 2011 ) . Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number . PLOS ONE vol. 6 , ( 8 )
Perra N, Balcan D, Gonçalves B ( 2011 ) . Towards a Characterization of Behavior-Disease Models . PLOS ONE vol. 6 , ( 8 )
Perra N, Balcan D, Gonçalves B ( 2011 ) . Towards a characterization of behavior-disease models .
Goncalves B, Perra N, Vespignani A ( 2011 ) . Validation of Dunbar's number in Twitter conversations .
Bajardi P, Poletto C, Balcan D, Hu H, Ramasco JJ, Paolotti D, Perra N, Tizzoni M et al. ( 2010 ) . Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere .
Balcan D, Colizza V, Singer AC, Chouaid C, Hu H, Gonçalves B, Poletto C, Ramasco JJ et al. ( 2009 ) . Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic . PLOS Currents vol. 1 ,
Perra N, Zlatić V, Chessa A, Conti C ( 2009 ) . PageRank equation and localization in the WWW . EPL (Europhysics Letters) vol. 88 , ( 4 )
Colizza V, Vespignani A, Perra N, Poletto C, Gonçalves B, Hu H, Van den Broeck W, Tizzoni M ( 2009 ) . Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model . PLOS Currents vol. 1 ,
Balcan D, Hu H, Goncalves B, Bajardi P, Poletto C, Ramasco JJ, Paolotti D, Broeck WVD et al. ( 2009 ) . Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility .
Balcan D, Hu H, Goncalves B, Bajardi P, Ramasco JJ, Perra N, Tizzoni M, Colizza V et al. ( 2009 ) . Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility . BMC Medicine vol. 7 , ( 1 )
Perra N ( 2008 ) . Spectral centrality measures in complex networks .
Perra N ( 2008 ) . Spectral centrality measures in complex networks . Physical Review E vol. 78 , ( 3 )
Perra N, Zlatic V, Chessa A, Conti C, Donato D ( 2008 ) . Schroedinger-like PageRank equation and localization in the WWW .
Bajardi P, Poletto C, Balcan D, Hu H, Goncalves B, Ramasco J, Paolotti D, Perra N et al. ( 2008 ) . Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere . Emerging Health Threats Journal vol. 2 ,
Gozzi N, Chinazzi M, Davis JT, Mu K, Pastore y Piontti A, Ajelli M, Perra N, Vespignani A . Anatomy of the first six months of COVID-19 Vaccination Campaign in Italy .
Calmon L, de Gaetano A, Mazzoli M, Gozzi N, Debin M, Debin M, Marmorat R, Marmorat R et al. . Assessing dengue knowledge, attitudes and preventive practices using participatory surveillance cohorts .
De Gaetano A, Bajardi P, Gozzi N, Perra N, Perrotta D, Paolotti D . Behavioral Changes Associated With COVID-19 Vaccination: Cross-National Online Survey (Preprint) .
Gozzi N, Tizzani M, Starnini M, Ciulla F, Paolotti D, Panisson A, Perra N . Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis (Preprint) .
Gozzi N, Perra N, Vespignani A . Comparative Evaluation of Behavioral-Epidemic Models Using COVID-19 Data . Proceedings of the National Academy of Sciences
Gozzi N, Chinazzi M, Davis JT, Gioannini C, Rossi L, Ajelli M, Perra N, Vespignani A . Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration .
Gozzi N, Tizzoni M, Chinazzi M, Ferres L, Vespignani A, Perra N . Estimating the effect of social inequalities in the mitigation of COVID-19 across communities in Santiago de Chile .
Gozzi N, Chinazzi M, Davis JT, Mu K, Pastore y Piontti A, Ajelli M, Perra N, Vespignani A . Estimating the spreading and dominance of SARS-CoV-2 VOC 202012/01 (lineage B.1.1.7) across Europe .
Li Y, Gozzi N, Perra N, Tizzoni M . Fairness in infectious disease modeling .
De Gaetano A, Coletti P, Perra N, Barrat A, Paolotti D . Including gender-specific features in epidemic modeling: the case of the second wave of COVID-19 in Italy .
Gozzi N, Gioannini C, Milano P, Vismara I, Rossi L, Quaggiotto M, Fiandrino S, Fiandrino S et al. . Performance evaluation of RespiCast ensemble forecasts for primary care syndromic indicators of viral respiratory disease in Europe during the 2023/24 winter season .
Gozzi N, Chinazzi M, Davis JT, Mu K, Pastore y Piontti A, Vespignani A, Perra N . Preliminary modeling estimates of the relative transmissibility and immune escape of the Omicron SARS-CoV-2 variant of concern in South Africa .
Manna A, Karsai M, Perra N . Social inequalities in vaccine coverage and their effects on epidemic spreading .
Gozzi N, Bajardi P, Perra N . The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout .