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Queen Mary University of London, INSERM, Fondazione Bruno Kessler, Politecnico di Torino
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Vespignani Alessandro, Gozzi Nicolò, Paolotti Daniela, Gioannini Corrado, Rossi Luca, Milano Paolo, Vismara Ivan, Fiandrino Stefania
Influcast is the first Italian hub for epidemiological forecasts that aggregates estimates produced by different research teams about the future trends of influenza-like illnesses at both national and regional levels.
The project is coordinated and maintained by the ISI Foundation in Turin.
Influcast forecasts the evolution of influenza-like-illnesses by aggregating predictions from multiple models
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WebSci '21: 13th ACM Web Science Conference 2021 272–281 (2021)
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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
Mirco Nanni, Gennady Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, Janos Kertesz, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenc Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Ethics and Information Technology23, 1-6 (2021)
Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2
Kaiyuan Sun, Wei Huang, Lidong Gao, Yan Wang, Kaiwei Luo, Lingshuang Ren, Zhifei Zhan, Xinghui Chen, Shanlu Zhao, Yiwei Huang, Qianlai Sun, Ziyan Liu, Maria Litvinova, Alessandro Vespignani, Marco Ajelli, Cécile Viboud, Hongjie Yu
Science371, 6526, (2021)
Inferring high-resolution human mixing patterns for disease modeling
Dina Mistry, Maria Litvinova, Ana Pastore Y Piontti, Matteo Chinazzi, Laura Fumanelli, Marcelo F. C. Gomes, Syed A. Haque, Quan-Hui Liu, Kunpeng Mu, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini Jr, Stefano Merler, Marco Ajelli, Alessandro Vespignani
Nature Communications12, 323 (2021)
Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions
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The COVID-19 outbreak in Sichuan, China: Epidemiology and impact of interventions
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PLoS Computational Biology16(12), e1008467 (2020)
Risk of Secondary Infection Waves of COVID-19 in an Insular Region: The Case of the Balearic Islands, Spain
Victor M. Eguíluz, Juan Fernández-Gracia, Jorge P. Rodríguez, Juan M. Pericàs, Carlos Melián
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Trends and Characteristics of Emergency Medical Services in Italy: A 5-Years Population-Based Registry Analysis
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PLoS Biology18(11), e3000897 (2020)
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Journal of the Royal Society Interface17(172), (2020)
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Flocking-enhanced social contagion
Demian Levis, Albert Dìaz-Guilera, Ignacio Pagonabarraga, Michele Starnini
Physical Review Research2(3), (2020)
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models
Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T. Davis, Alessandro Vespignani, Mauricio Santillana
Journal of medical Internet research22(8), e20285 (2020)
Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19
Alberto Aleta, David Martín-Corral, Ana Pastore Y Piontti, Marco Ajelli, Maria Litvinova, Matteo Chinazzi, Natalie E. Dean, M. Elizabeth Halloran, Ira M. Longini Jr, Stefano Merler, Alex Pentland, Alessandro Vespignani, Esteban Moro, Yamir Moreno
Nature Human Behaviour4, 964–971 (2020)
Relevance of temporal cores for epidemic spread in temporal networks
Martino Ciaperoni, Edoardo Galimberti, Francesco Bonchi, Ciro Cattuto, Francesco Gullo, Alain Barrat
Scientific Reports10, 12529 (2020)
Socioeconomic bias in influenza surveillance
Samuel V. Scarpino, James G. Scott, Rosalind M. Eggo, Bruce Clements, Nedialko B. Dimitrov, Lauren Ancel Meyers
PLOS Computational Biology16(7), e1007941 (2020)
COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown
Emanuele Pepe, Paolo Bajardi, Laetitia Gauvin, Filippo Privitera, Brennan Lake, Ciro Cattuto, Michele Tizzoni
Scientific Data7, 230 (2020)
A data-driven assessment of early travel restrictions related to the spreading of the novel COVID-19 within mainland China
Alberto Aleta, Qitong Hu, Jiachen Ye, Peng Ji, Yamir Moreno
Chaos, Solitons & Fractals139, (2020)
Sentiment and Moral Narratives during COVID-19
Oscar Araque, Kyriaki Kalimeri, Lorenzo Gatti
ACL 2020 Workshop NLP-COVID (2020)
Grippenet: A New Tool for the Monitoring, Risk-Factor and Vaccination Coverage Analysis of Influenza-Like Illness in Switzerland
Aude Richard, Laura Müller, Ania Wisniak, Amaury Thiabaud, Thibaut Merle, Damien Dietrich, Daniela Paolotti, Emilien Jeannot, Antoine Flahault
Vaccines8(3), 343 (2020)
COVID-19 on Facebook Ads: Competing Agendas around a Public Health Crisis
COMPASS '20: Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies 22-31 (2020)
The Institutionalisation of Digital Public Health: Lessons Learned from the COVID-19 App
Ciro Cattuto, Alessandro Spina
European Journal of Risk Regulation11, 2, 228-235 (2020)
Evaluation of the potential incidence of COVID-19 and effectiveness of containment measures in Spain: a data-driven approach
Alberto Aleta, Yamir Moreno
BMC medicine18 , 157 (2020)
Spatial heterogeneity and socioeconomic determinants of opioid prescribing in England between 2015 and 2018
Rossano Schifanella, Dario Delle Vedove, Alberto Salomone, Paolo Bajardi, Daniela Paolotti
BMC Medicine18, 127 (2020)
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)
Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak
Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, Matteo Chinazzi
Northeastern University (2020)
Modelling COVID-19
Alessandro Vespignani, Huaiyu Tian, Christopher Dye, James O. Lloyd- Smith, Rosalind M. Eggo, Munik Shrestha, Samuel V. Scarpino, Bernardo Gutierrez, Moritz U. G. Kraemer, Joseph Wu, Kathy Leung, Gabriel M. Leung
Nature Review Physics2, 279-281 (2020)
Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study
Juanjuan Zhang, Maria Litvinova, Wei Wang, Yan Wang, Xiaowei Deng, Xinghui Chen, Mei Li, Wen Zheng, Lan Yi, Xinhua Chen, Qianhui Wu, Yuxia Liang, Xiling Wang, Juan Yang, Kaiyuan Sun, Ira M. Longini Jr, M. Elizabeth Halloran, Peng Wu, Benjamin J. Cowling, Stefano Merler, Marco Ajelli, Hongjie Yu
The Lancet Infectious Diseases20(7), 793-802 (2020)
Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Juanjuan Zhang, Maria Litvinova, Yuxia Liang, Yan Wang, Wei Wang, Shanlu Zhao, Qianhui Wu, Stefano Merler, Cécile Viboud, Alessandro Vespignani, Marco Ajelli, Hongjie Yu
Science368(6498), 1481-1486 (2020)
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
Nuria Oliver, Bruno Lepri, Harald Sterly, Renaud Lambiotte, Sébastien Delataille, Marco De Nadai, Emmanuel Letouzé, Albert Ali Salah, Richard Benjamins, Ciro Cattuto, Vittoria Colizza, Nicolas De Cordes, Samuel P. Fraiberger, Till Koebe, Sune Lehmann, Juan Murillo, Alex Pentland, Phuong N Pham, Frédéric Pivetta, Jari Saramäki, Samuel V. Scarpino, Michele Tizzoni, Stefaan G. Verhulst, Patrick Vinck
Science Advances6, 23, (2020)
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Matteo Chinazzi, Jessica T. Davis, Marco Ajelli, Corrado Gioannini, Maria Litvinova, Stefano Merler, Ana Pastore Y Piontti, Kunpeng Mu, Luca Rossi, Kaiyuan Sun, Cécile Viboud, Xinyue Xiong, Hongjie Yu, M. Elizabeth Halloran, Ira M. Longini Jr, Alessandro Vespignani
Science368(6489), 395-400 (2020)
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak
Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Matteo Chinazzi, Alessandro Vespignani
The effect of human mobility and control measures on the COVID-19 epidemic in China
Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, Chieh-Hsi Wu, Brennan Klein, David M. Pigott, , Louis Du Plessis, Nuno R. Faria, Ruoran Li, William P. Hanage, John S. Brownstein, Maylis Layan, Alessandro Vespignani, Huaiyu Tian, Christopher Dye, Oliver G. Pybus, Samuel V. Scarpino
Science38, 6490, 493-497 (2020)
The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
Michele Tizzoni, André Panisson, Daniela Paolotti, Ciro Cattuto
PloS Computational Biology16(3), e1007633 (2020)
Detecting critical slowing down in high-dimensional epidemiological systems
Tobias Brett, Marco Ajelli, Quan-Hui Liu, Mary G. Krauland, John J. Grefenstette, Willem G. Van Panhuis, Alessandro Vespignani, John M. Drake, Pejman Rohani
Plos Computational Biology16(3), e1007679 (2020)
Tesco Grocery 1.0, a large-scale dataset of grocery purchases in London
Luca Maria Aiello, Daniele Quercia, Rossano Schifanella, Lucia Del Prete
Scientific Data7, 57 (2020)
Preliminary assessment of the International Spreading Risk Associated with the 2019 novel Coronavirus (2019-nCoV) outbreak in Wuhan City
Matteo Chinazzi, Jessica T. Davis, Corrado Gioannini, Maria Litvinova, Ana Pastore Y Piontti, Luca Rossi, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini Jr, Alessandro Vespignani
Asymptomatic Infection and Transmission of Pertussis in Households: A Systematic Review
Rodger Craig, Elizabeth Kunkel, Natasha S. Crowcroft, Meagan C. Fitzpatrick, Hester De Melker, Benjamin M. Althouse, Tod Merkel, Samuel V. Scarpino, Katia Koelle, Lindsay Friedman, Callum Arnold, Shelly Bolotin
Clinical Infectious Diseases70, 1, 152–161 (2020)
Spatio-temporal Analysis of Flu-related Drugs Uptake in an Online Cohort in England
Daniela Perrotta, Dario Delle Vedove, Chinelo Obi, Richard Pebody, Rossano Schifanella, Daniela Paolotti
DPH2019: Proceedings of the 9th International Conference on Digital Public Health 111-118 (2019)
Digital Health Innovation: From Proof of Concept to Public Value
Daniela Paolotti, Umair Shah, Michael Edelstein, Onicio Leal Neto, Patricie Kostkova, Caroline Wood
DPH2019: Proceedings of the 9th International Conference on Digital Public Health 5 (2019)
Participatory Disease Surveillance Systems: Ethical Framework
Daniela Paolotti, Caroline Guerrisi, Charlotte Kjelsø, Paul Lukowicz, Marco Hirsch, Antoine Flahault, Olivia Woolley-Meza, L. D. Geneviève, A. Martani, T. Wangmo, B. S. Elger, C. Koppeschaar
Journal of Medical Internet Research21, 5 e12273, (2019)
Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study
Anna Sapienza, Laura Ozella, André Panisson, Marco Quaggiotto, Kyriaki Kalimeri, Ciro Cattuto, Michele Tizzoni, Laetitia Gauvin, Luca Carenzo, Pier Luigi Ingrassia, Davide Colombo, Francesco Della Corte
Journal of Medical Internet Research21, 4 e12251, (2019)
Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms
Yamir Moreno, Daniela Paolotti, Matteo Delfino, Kyriaki Kalimeri, Ciro Cattuto, John Edmunds, Richard Peabody, Caroline Guerrisi, Ricardo Mexia, Jim Duggan, Charlotte Kjelsø, Chinelo Obi, C. Koppeschaar, Vittoria Colizza, Daniela Perrotta, Ana Franco, Sandro Meloni, Clément Turbelin
PLOS Computational Biology15(4): e1006173, (2019)
The future of influenza forecasts
Alessandro Vespignani, Cécile Viboud
PNAS Proceedings of the National Academy of Sciences116 (8), 2802-2804 (2019)
Global flu view: a platform to connect crowdsourced disease surveillance around the world
Daniela Paolotti, Marc S Smolinski, A. W. Crawley, F. Dalton, John S. Brownstein
International Journal of Infectious Diseases79, 7 (2019)
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)
Fake Cures: User-centric Modeling of Health Misinformation in Social Media
Yelena Mejova, A. Ghenai
Proceedings of the ACM on Human-Computer Interaction - CSCW2 / CSCW, 20 (2018)
Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic
Alessandro Vespignani, Luca Rossi, Piero Poletti, Diana Patricia Rojas, Dina Mistry, Stefano Merler, Kaiyuan Sun, M. Elizabeth Halloran, Qian Zhang
BMC Medicine16 / 195, (2018)
Quantifying the risk of local Zika virus transmission in the continental US during the 2015-2016 ZIKV epidemic
Alessandro Vespignani, Luca Rossi, Piero Poletti, Diana Patricia Rojas, Dina Mistry, Stefano Merler, Kaiyuan Sun, M. Elizabeth Halloran, Ana Pastore Y Piontti, Qian Zhang
BMC Medicine16:195, (2018)
grippeNET App: Enhancing Participatory Influenza Monitoring Through Mobile Phone Sensors
Marco Hirsch, Olivia Woolley-Meza, Daniela Paolotti, Antoine Flahault, Paul Lukowicz
UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers 833–841 (2018)
A Topological Data Analysis Approach to Influenza-Like-Illness
Daniela Paolotti, Ricardo Mexia, J.P Costa, P. Skraba
Proceedings of the ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK) (2018)
Close encounters between infants and household members measured through wearable proximity sensors
Laura Ozella, Ciro Cattuto, Michele Tizzoni, I. Campagna, Caterina Rizzo, Francesco Gesualdo, Elisabetta Pandolfi, Alberto Eugenio Tozzi
Plos One13(6):e0198733, (2018)
Self-Swabbing for Virological Confirmation of Influenza-Like Illness Among an Internet-Based Cohort in the UK During the 2014-2015 Flu Season: Pilot Study
Daniela Paolotti, John Edmunds, Richard Pebody, CE Keane, M Donati, E Fragaszy, RA McKendry, C Wenham, ER Gray
J Med Internet Res20,3, (2018)
The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation
Alessandro Vespignani, Gerardo Chowell, Lone Simonsen, Cécile Viboud, Laura Fumanelli, Stefano Merler, Kaiyuan Sun, Qian Zhang
Epidemics22, 13-21 (2018)
Resilience management during large-scale epidemic outbreaks
Alessandro Vespignani, Emanuele Massaro, Nicola Perra, Alexander Ganin
Scientific Reports8 / 1859, (2018)
Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Madhav V Marathe, Andre T Nguyen, Mauricio Santillana, Samarth Swarup, Anil Kumar Vullikanti, Mandi L Wilson, Shuyu Chu, Achla Marathe, Daniela Perrotta, Qian Zhang, Nicola Perra, John S. Brownstein
JMIR Public Health and Surveillance3, No 4 Oct-Dec, (2017)
The RAPIDD Ebola forecasting challenge: Model description and synthetic data generation
Marco Ajelli, Qian Zhang, Kaiyuan Sun, Stefano Merler, Laura Fumanelli, Gerardo Chowell, Lone Simonsen, Cécile Viboud, Alessandro Vespignani
Epidemics22(3-12), (2017)
Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe
Yamir Moreno, Daniela Paolotti, John Edmunds, Jim Duggan, Charlotte Kjelsø, Caroline Guerrisi, Ricardo Mexia, Edward van Straten, Vittoria Colizza, Daniela Perrotta, Carl Koppeschaar, Ana O Franco, Sandro Meloni, Clément Turbelin
JMIR Public Health and Surveillance3(3):e66, (2017)
Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Daniela Perrotta, Qian Zhang, Nicola Perra
Proceeding of the 26th International Conference on World Wide Web (WWW) 311 (2017)
Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy
Daniela Paolotti, Michele Tizzoni, Daniela Perrotta
Proceeding of the 26th International Conference on World Wide Web (WWW) 303 (2017)
Spread of Zika virus in the Americas
Alessandro Vespignani, Luca Rossi, Piero Poletti, Diana Patricia Rojasc, Dina Mistry, Stefano Merler, Margaret Braya, Kaiyuan Sun, Ana Pastore Y Piontti, Qian Zhang
PNAS114 ,22, (2017)
Participatory Online Surveillance as a Supplementary Tool to Sentinel Doctors for Influenza-Like Illness Surveillance in Italy
Daniela Paolotti, Antonino Bella, Daniela Perrotta, Caterina Rizzo
PLOS|One (2017)
Participatory Syndromic Surveillance of Influenza in Europe
Yamir Moreno, Daniela Paolotti, John Edmunds, Richard Pebody, Caroline Guerrisi, Ricardo Mexia, Edward van Straten, Jim Duggan, Charlotte Kjelsø, Vittoria Colizza, Daniela Perrotta, Carl Koppeschaar, Ronald Smallenburg, Ana O Franco, Ruggero Vasile, Sandro Meloni, Clément Turbelin, Thierry Blanchon, Isabelle Bonmarin, Thomas Hanslik, Daniel Levy-Bruhl
J Infect Dis.214 (supp 4): S386-S392, S386-S392 (2016)
Containing Ebola at the Source with Ring Vaccination
Alessandro Vespignani, Stefano Parlamento, Giovanni Putoto, Dante Carraro, Laura Fumanelli, Stefano Merler, M. Elizabeth Halloran, Ana Pastore Y Piontti
PLoS Negl Trop Dis10(11), (2016)
Spatiotemporal dynamics of the Ebola epidemic in Guinea and implications for vaccination and disease elimination: a computational modeling analysis
Alessandro Vespignani, Natalie E. Dean, Laura Fumanelli, Stefano Merler, M. Elizabeth Halloran, Ana Pastore Y Piontti
BMC Medicine201614:130, (2016)
Real-Time Assessment of the International Spreading Risk Associated with the 2014 West African Ebola Outbreak
Alessandro Vespignani, Luca Rossi, Vittoria Colizza, Chiara Poletto, Dennis Chao, M. Elizabeth Halloran, Ana Pastore Y Piontti, Marcelo F. C. Gomes, Qian Zhang
Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases 39-56 (2016)
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Paolo Bajardi, Vittoria Colizza, Chiara Poletto, Bruno Gonçalves, Wouter Van den Broeck, Nicola Perra, Duygu Balcan, H. Hu, José J. Ramasco
BMC Medicine7:45, (2009)
Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Paolo Bajardi, Vittoria Colizza, Chiara Poletto, Bruno Gonçalves, Wouter Van den Broeck, Nicola Perra, Duygu Balcan, H. Hu, José J. Ramasco
Public Library of Science Currents: Influenza.RRN1129, (2009)
Spatiotemporal spread of the 2014 outbreak of Ebola virus disease in Liberia and the eff ectiveness of non-pharmaceutical interventions: a computational modelling analysis
Alessandro Vespignani, Luca Rossi, Laura Fumanelli, Stefano Merler, Dennis Chao, M. Elizabeth Halloran, Ana Pastore Y Piontti, Marcelo F. C. Gomes
Lancet Infect Dis15,2, 204-2011 (2015)
Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform
Alessandro Vespignani, Daniela Paolotti, Marco Quaggiotto, Corrado Gioannini, Michele Tizzoni, Daniela Perrotta, Qian Zhang, Nicola Perra
Lecture Notes in Computer Science9286, 237-240 (2015)
Supporting Epidemic Intelligence, Personalised and Public Health with advanced computational methods
Daniela Paolotti, Joao Pita Costa, Flavio Fuart, Primož Škraba, Evgenia Belayeva, Inna Novalija
Conference Paper : EM-Health Workshop-Zdravje Ljubljana (2015)
The Scaling of Human Contacts and Epidemic Processes in Metapopulation Networks
Michele Tizzoni, Kaiyuan Sun, Diego Benusiglio, Márton Karsai, Nicola Perra
Scientific Reports5/15111, (2015)
Ten-year performance of Influenzanet: ILI time series, risks, and vaccine effects in the Grote Griepmeting, Gripenet, and Influweb cohorts
Daniela Paolotti, Cláudia T. Codeço, Marc Van Ranst, Carl Koppeschaar, S. Van Noort, G. Gomes
Epidemics (2015)
Mitigation of infectious disease at school: targeted class closure vs school closure
Ciro Cattuto, Alain Barrat, Valerio Gemmetto
BMC Infectious Diseases14, 695 (2014)
Characterising two-pathogen competition in spatially structured environments
Alessandro Vespignani, Yamir Moreno, Vittoria Colizza, Chiara Poletto, Ashleigh Van Metre, Sandro Meloni
Scientific Reports 5 7895 (2015)
Combining High-Resolution Contact Data with Virological Data to Investigate Influenza Transmission in a Tertiary Care Hospital
Ciro Cattuto, Alain Barrat, Jean-Sébastien Casalegno, Cécile Payet, Brigitte Comte, B. Kim, Philippe Vanhems, Corinne Régis, Nagham Khanafer, N. Voirin, B. Lina
Infection Control & Hospital Epidemiology 1-7 (2015)
Assessing the impact of travel restrictions on international spread of the 2014 West African Ebola epidemic
Alessandro Vespignani, Luca Rossi, Vittoria Colizza, Chiara Poletto, Livio Bioglio, Dennis Chao, M. Elizabeth Halloran, Ana Pastore Y Piontti, Marcelo F. C. Gomes
Eurosurveillance19, 42 (2014)
Ebola: mobility data
Alessandro Vespignani, Samuel V. Scarpino, JM Hyman, S Eubank, MC Eisenberg, D Gao, N Bharti, LR Feldstein, KA Alexander, M Ferrari, J Shaman, John M. Drake, T Porco, JN Eisenberg, SY Del Valle, E Lofgren, M. Elizabeth Halloran
Science346(6208), 433 (2014)
Assessing the International Spreading Risk Associated with the 2014 West African Ebola Outbreak
Alessandro Vespignani, Luca Rossi, Dennis Chao, M. Elizabeth Halloran, Ana Pastore Y Piontti, Marcelo F. C. Gomes
PLOS Currents Outbreaks (2014)
Internet-Based Epidemiology
Daniela Paolotti, Costanza Pizzi, Lorenzo Richiardi
Handbook of Epidemiology 439-469 (2014)
The representativeness of a European multi-center network for influenza-like-illness participatory surveillance
Alessandro Vespignani, Daniela Paolotti, John Edmunds, Vittoria Colizza, Chiara Poletto, Pietro Cantarelli, Alessandra Micheletti, Vitor Faustino, AnnaSara Carnahan, Carl Koppeschaar, Moa Rehn, Ronald Smallenburg, Ana O Franco, Marion Debin, Clément Turbelin, Thierry Blanchon, Isabelle Bonmarin, Alessandra Falchi, Thomas Hanslik, Daniel Levy-Bruhl, K.T.D. Eames
BMC Public Health14, 984 (2014)
The infection tree of global epidemics
Ana Pastore Y Piontti, Marcelo Ferreira da Costa Gomes, Nicole Samay, Nicola Perra, Alessandro Vespignani, Luciano da Fontoura Costa
Network Science2,1, 132 - 137 (2014)
Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet
Alessandro Vespignani, Daniela Paolotti, John Edmunds, Paolo Bajardi, Vittoria Colizza, Sebastian Funk, Ana Franco, Vitor Faustino, AnnaSara Carnahan, Carl Koppeschaar, Moa Rehn, Ronald Smallenburg, Marion Debin, Clément Turbelin, K.T.D. Eames
J Med Internet Res16, 3, (2014)
Assessing the ecotoxicologic hazards of a pandemic influenza medical response
Alessandro Vespignani, Vittoria Colizza, Johanna Andrews, Duygu Balcan, A.C. Singer, Heike Schmitt, Wei Huang, Virginie D.J. Keller, Richard Williams
Environ Health Perspectives119(8), 1084–1090 (2011)
Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience
Alessandro Vespignani, Daniela Paolotti, John Edmunds, Vittoria Colizza, AnnaSara Carnahan, Carl Koppeschaar, Moa Rehn, Ronald Smallenburg, S. Van Noort, G. Gomes, Clément Turbelin, K.T.D. Eames
Clinical Microbiology and Infection20, 17-21 (2014)
Human mobility and the worldwide impact of intentional localized highly pathogenic virus release
Alessandro Vespignani, Bruno Gonçalves, Duygu Balcan
Scientific Reports 3810, (2013)
Containing the accidental laboratory escape of potential pandemic influenza viruses
Alessandro Vespignani, Laura Fumanelli, Stefano Merler
BMC Medicine11(1), 252 (2013)
Host mobility drives pathogen competition in spatially structured populations
Alessandro Vespignani, Yamir Moreno, Vittoria Colizza, Chiara Poletto, Sandro Meloni
PLoS Comput Biol9(8): e1003169, (2013)
Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Paolo Bajardi, Vittoria Colizza, Chiara Poletto, Bruno Gonçalves, Wouter Van den Broeck, Nicola Perra, A.J. Valleron, C. Chouaid, Duygu Balcan, A.C. Singer, H. Hu, José J. Ramasco
PLoS Current Influenza1133, (2009)
Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
Alessandro Vespignani, Daniela Paolotti, Michele Tizzoni, Paolo Bajardi, Vittoria Colizza, Chiara Poletto, Bruno Gonçalves, Wouter Van den Broeck, Nicola Perra, Duygu Balcan, H. Hu, José J. Ramasco
Emerging Health Threats Journal2:e11, (2009)
Multiscale mobility networks and the large scale spreading of infectious diseases
Alessandro Vespignani, Vittoria Colizza, Bruno Gonçalves, Duygu Balcan, H. Hu, José J. Ramasco
PNAS106,51, 21484-21489 (2009)
Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic
Daniela Paolotti, John Edmunds, N.L. Tilston, K.T.D. Eames
BMC Public Health10:650, (2010)
Comparing large-scale computational approaches to epidemic modeling: agent-based versus structured metapopulation models
Alessandro Vespignani, Vittoria Colizza, Stefano Merler, Bruno Gonçalves, Duygu Balcan, H. Hu, José J. Ramasco
BMC Infectious Diseases10:190, (2010)
Internet-based monitoring system for infuenza-like illness: H1N1 surveillance in Italy
Alessandro Vespignani, Daniela Paolotti, Corrado Gioannini, Vittoria Colizza
Proceedings of eHealth 2010 Casablanca 13-15 December 2010 (2010)
Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model
Alessandro Vespignani, Vittoria Colizza, Bruno Gonçalves, Duygu Balcan, H. Hu, José J. Ramasco
Journal of Computational Science1, 3, 132–145 (2010)
On the usefulness of ontologies in epidemiology research and practice
Daniela Paolotti, João.D. Ferreira, Francisco M. Couto, Mário J. Silva
The Journal of Epidemiology and Community Health10.1136/jech, 2012-201142 (2012)
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm
Alessandro Vespignani, Michele Tizzoni, Paolo Bajardi, Vittoria Colizza, Chiara Poletto, Bruno Gonçalves, Nicola Perra, Duygu Balcan, José J. Ramasco
BMC Medicine10:165, (2012)
The GLEaMviz computational tool, a publicly available software to explore realistic epidemic spreading scenarios at the global scale
Alessandro Vespignani, Marco Quaggiotto, Corrado Gioannini, Vittoria Colizza, Bruno Gonçalves, Wouter Van den Broeck
BMC Infectious Diseases2011, 11:37, (2011)
Rapid assessment of influenza vaccine effectiveness: analysis of an internet-based cohort
Daniela Paolotti, Corrado Gioannini, John Edmunds, M. Perosa, K.T.D. Eames, E. Brooks-Pollock
Epidemiology and Infection, Available on CJO140(7), 1309-15 (2012)
Towards a Characterization of Behavior-Disease Models
Alessandro Vespignani, Bruno Gonçalves, Nicola Perra, Duygu Balcan
PLoS ONE6(8): e23084, (2011)
Digital Epidemiology
Alessandro Vespignani, Ciro Cattuto, Marcel Salathé, Devon D. Brewer, John S. Brownstein, Ellsworth Campbell, Shashank Khandelwal, Patricia Mabry, Todd J. Bodnar, Caroline Buckee, Linus Bengtsson
PLoS Computational Biology8(7), e1002616 (2012)
A statistical modelling approach for determining the cause of reported respiratory syndromes from internet-based participatory surveillance when influenza virus and SARS-CoV-2 are co-circulating
Scott A. McDonald, Albert Jan van Hoek, Daniela Paolotti, Mariette Hooiveld, Adam Meijer, Marit de Lange, , Arianne van Gageldonk-Lafeber, Jacco Wallinga
PLOS Digital Health3(12), e0000655 (2024)
Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach
Nicolò Gozzi, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana Pastore Y Piontti, Marco Ajelli, Alessandro Vespignani, Nicola Perra
Epidemics 100805 (2024)
Modeling the interplay between disease spread, behaviors, and disease perception with a data-driven approach
Alessandro De Gaetano, Alain Barrat, Daniela Paolotti
Mathematical Biosciences378, 109337 (2024)
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Secure Interactive Environments for SensiTive data Analytics
AWaRe 1
A Global Low- and Middle-Income Country Primary Care (PC) Antimicrobial Stewardship Trial using the WHO AWaRe system
COVID-19 Real Time Epidemiology I-DAIR Pathfinder
COVID-19 Real Time Epidemiology I-DAIR Pathfinder is an interdisciplinary project funded by the Botnar Foundation
RespiCast
European Respiratory Diseases Forecasting Hub (RespiCast)