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  1. 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
    Infodemics: A new challenge for public health.
    Cell 184(25), 6010-6014 (2021)

  2. L. Gauvin, P. Bajardi, E. Pepe, B. Lake, F. Privitera, M. Tizzoni
    Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods.
    Journal of Royal Society Interface 18:20210092 (2021)

  3. O. Prunas, D. M. Weinberger, D. Medini, M. Tizzoni, L. Argante
    Evaluating the Impact of Meningococcal Vaccines With Synthetic Controls.
    American Journal of Epidemiology (2021)

  4. M. Mazzoli, E. Pepe, D. Mateo, C. Cattuto, L. Gauvin, P. Bajardi, M. Tizzoni, A. Hernando, S. Meloni, J.J. Ramasco
    Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact.
    PLoS Computational Biology 17(10), e1009326 (2021)

  5. N. Gozzi, M. Tizzoni, M. Chinazzi, L. Ferres, A. Vespignani, N. Perra
    Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile.
    Nature Communications 12, 2429 (2021)

  6. L.R. Woskie, J. Hennessy ,V. Espinosa, T.C. Tsai, S. Vispute, B.H. Jacobson, C. Cattuto, L. Gauvin, M. Tizzoni, A. Fabrikant, K. Gadepalli, A. Boulanger, A. Pearce, C. Kamath, A. Schlosberg, C. Stanton, S. Bavadekar, M. Abueg, M. Hogue, A. Oplinger, K. Chou, G. Corrado, T. Shekel, A.K. Jha, G.A. Wellenius, E. Gabrilovich
    Early social distancing policies in Europe, changes in mobility & COVID-19 case trajectories: Insights from Spring 2020.
    PLoS ONE 16(6), e0253071 (2021)

  7. M. Starnini, A. Aleta, M. Tizzoni, Y. Moreno
    Impact of data accuracy on the evaluation of COVID-19 mitigation policies.
    Data & Policy 3, e28 (2021)

  8. Y. Ophir, D. Walter, D. Arnon, A. Lokmanoglu, M. Tizzoni, J. Carota, L. D'Antiga, E. Nicastro
    The Framing of COVID-19 in Italian Media and Its Relationship with Community Mobility: A Mixed-Method Approach.
    Journal of Health Communication 26:3, 161-173 (2021)

  9. E. Pepe, P. Bajardi, L. Gauvin, F. Privitera, B. Lake, C. Cattuto, M. Tizzoni
    COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown.
    Scientific Data 7, 2030 (2020)

  10. N. Oliver, B. Lepri, H. Sterly, R. Lambiotte, S. Deletaille, M. De Nadai, E. Letouzé, A. A. Salah, R. Benjamins, C. Cattuto, V. Colizza, N. de Cordes, S. P. Fraiberger, T. Koebe, S. Lehmann, J. Murillo, A. Pentland, P. N Pham, F. Pivetta, J. Saramäki, S. V. Scarpino, M. Tizzoni, S. Verhulst, P. Vinck
    Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle.
    Science Advances 6, eabc0764 (2020)

  11. L. Gauvin, M. Tizzoni, S. Piaggesi, A. Young, N. Adler, S. Verhulst, L. Ferres, C. Cattuto
    Gender Gaps in Urban Mobility
    Humanities and Social Sciences Communincations 7, 11 (2020)

  12. D. Rama, Y. Mejova, M. Tizzoni, K. Kalimeri, I. Weber
    Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide
    WWW'20: Proceedings of The Web Conference 2020 pp. 327-338 (2020)

  13. M. Tizzoni, A. Panisson, D. Paolotti, C. Cattuto
    The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
    PLOS Computational Biology 16, e1007633 (2020)
    Paper data are available on Zenodo.

    Press coverage: Forbes., United Press International.

  14. J. Wilson-Aggarwal, L. Ozella, M. Tizzoni, C. Cattuto, G. Swan, T. Moundai, M. Silk, J. Zingeser, and R. A. McDonald
    High-resolution contact networks of free-ranging domestic dogs Canis familiaris and implications for transmission of infection
    PLoS Negl Trop Dis 13(7): e0007565 (2019)

  15. S. Piaggesi, L. Gauvin, M. Tizzoni, C. Cattuto, N. Adler, S. Verhulst, A. Young, R. Price, L. Ferres, A. Panisson
    Predicting City Poverty Using Satellite Imagery
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 90-96) (2019)

  16. N. Adler, C. Cattuto, K. Kalimeri, D. Paolotti, M. Tizzoni, S. Verhulst, E. Yom-Tov, A. Young
    How Search Engine Data Enhance the Understanding of Determinants of Suicide in India and Inform Prevention: Observational Study
    Journal of Medical Internet Research 21:e10179 (2019)

  17. L. Ozella, L. Gauvin, L. Carenzo, M. Quaggiotto, P.L. Ingrassia, M. Tizzoni, A. Panisson, D. Colombo, A. Sapienza, K. Kalimeri, F. Della Corte, C. Cattuto
    Wearable Proximity Sensors for Monitoring a Mass Casualty Incident Exercise: Feasibility Study
    Journal of Medical Internet Research 21:e12251 (2019)

  18. D. Paolotti, M. Tizzoni
    Special Session: Data Science for Social Good
    IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA)( 2018)

  19. L. Ozella, F. Gesualdo, M. Tizzoni, C. Rizzo, E. Pandolfi, I. Campagna, A. E. Tozzi, C. Cattuto
    Close encounters between infants and household members measured through wearable proximity sensors
    PLOS ONE 13(6):e0198733 (2018)

    Paper data are available on Zenodo.

  20. 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. S. Vullikanti, M. L. Wilson, Q. Zhang
    Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches
    JMIR Public Health and Surveillance 3(4):e83 (2017)

  21. C. Panigutti, M. Tizzoni, P. Bajardi, Z. Smoreda, V. Colizza
    Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models
    Royal Society Open Science 4,160950 (2017)

    Press coverage: Radio Popolare, Le Oche (In Italian).

  22. D. Perrotta, M. Tizzoni, D. Paolotti
    Using participatory Web-based surveillance data to improve seasonal influenza forecasting in Italy
    WWW2017 Proceedings of the 26th International Conference on World Wide Web (2017)

  23. Q. Zhang, N. Perra, D. Perrotta, D. Paolotti, M. Tizzoni, A. Vespignani
    Forecasting seasonal influenza fusing digital indicators and mechanistic disease models
    WWW2017 Proceedings of the 26th International Conference on World Wide Web (2017)
    Best Paper Honorable Mention Award

    Press coverage:
    CNN Tech: How Twitter can predict flu outbreaks 6 weeks in advance
    NBC News: That Tweet You Just Sent Could Help Predict a Flu Outbreak

  24. M. Beirò, A. Panisson, M. Tizzoni, C. Cattuto
    Predicting human mobility through the assimilation of social media traces into mobility models
    EPJ Data Science 5,30 (2016)
    Press coverage: Mining digital crumbs helps predict crowds' mobility

  25. L. Argante, M. Tizzoni, D. Medini
    Fast and accurate dynamic estimation of field effectiveness of meningococcal vaccines
    BMC Medicine 14, 98 (2016)

  26. M. C. Kiti, M. Tizzoni, T. M. Kinyanjui, D. C. Koech, P. K. Munywoki, M. Meriac, L. Cappa, A. Panisson, A. Barrat, C. Cattuto, D. J. Nokes
    Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors.
    EPJ Data Science 5, 21 (2016)

  27. Q. Zhang, C. Gioannini, D. Paolotti, N. Perra, D. Perrotta, M. Quaggiotto, M. Tizzoni, A. Vespignani
    Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 237-240. Springer (2015)

  28. M. Tizzoni, K. Sun, D. Benusiglio, M. Karsai, N. Perra
    The scaling of human contacts and epidemic processes in metapopulation networks.
    Scientific Reports 5, 15111 (2015)

  29. P. Bajardi, M. Delfino, A. Panisson, G. Petri, M. Tizzoni
    Unveiling patterns of international communities in a global city using mobile phone data.
    EPJ Data Science 4, 1-17 (2015)

  30. M. Tizzoni, P. Bajardi, A. Decuyper, G. Kon Kam King, C.M. Schneider, V. Blondel, Z. Smoreda, M.C. González, V. Colizza
    On the use of human mobility proxies for modeling epidemics.
    PLOS Computational Biology 10, e1003716 (2014)

  31. C. Poletto, M. Tizzoni, V. Colizza
    Human mobility and time spent at destination: impact on spatial epidemic spread.
    Journal of Theoretical Biology 338, 41-58 (2013)

  32. C. Poletto, M. Tizzoni, V. Colizza
    Heterogeneous length of stay of hosts' movements and spatial epidemic spread.
    Scientific Reports 2, 476 (2012)

  33. M. Tizzoni, P. Bajardi, C. Poletto, J. J. Ramasco, D. Balcan, B. Gonçalves, N. Perra, V. Colizza, A. Vespignani
    Real time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm.
    BMC Medicine 10:156 (2012)

  34. P. Bajardi, C. Poletto, J. J. Ramasco, M. Tizzoni, V. Colizza, A. Vespignani
    Human mobility networks, travel restrictions, and the global spread of the 2009 H1N1 pandemic.
    PLOS ONE 6, e16591 (2011)

  35. 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.
    Estimate of Novel Influenza A/H1N1 cases in Mexico at the early stage of the pandemic with a spatially structured epidemic model.
    PLoS Currents: Influenza. 2009 Nov 17 (2009)

  36. D. Balcan, V. Colizza, A. C. 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. J. Valleron, A. Vespignani.
    Modeling the critical care demand and antibiotics resources needed during the Fall 2009 wave of influenza A(H1N1) pandemic.
    PLoS Currents: Influenza Dec 8 (2009)

  37. P. Bajardi, C. Poletto, D. Balcan, H. Hu, B. Goncalves, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
    Modeling vaccination campaigns and the Fall/Winter 2009 activity of the new A(H1N1) influenza in the Northern Hemisphere
    Emerging Health Threats Journal 2, e11 (2009)

  38. D. Balcan, H. Hu, B. Goncalves, P. Bajardi, C. Poletto, J. J. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani
    Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility.
    BMC Medicine 7, 45 (2009)