Participatory surveillance and citizen science for digital epidemiology.



I am a Research Leader at ISI Foundation, in the Computational Epidemiology and Public Health group. 

My research revolves around the field of infectious diseases epidemiology with a special focus on digital epidemiology, participatory surveillance and mathematical modeling. This field is a high interdisciplinary domain which combines complex system science, computational sciences, complex networks theory, mathematical epidemiology, ICT technologies.

In particular I am interested in complex techno-social systems and in studying new data-collection schemes aimed at detecting disease-related information directly from the general population, both with passive and active approaches.







I am the coordinator of Influenzanet (, a Europe-wide network of web-based platforms aimed at monitoring the activity of influenza-like-illness (ILI) with the aid of volunteers via the internet. It is now operational in eleven countries and it has been built mainly thanks to the activity carried out during the European Commission funded Epiwork project (7th Framework Program) coordinated by ISI Foundation. In contrast with the traditional system of sentinel networks of mainly primary care physicians, Influenzanet obtains its data directly from the population, mostly by those individuals who don't visit a doctor when affected by ILI symptoms. This creates a fast and flexible monitoring system whose uniformity allows for direct comparison of ILI rates between countries.






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) p.237-240

Ten-year performance of Influenzanet: ILI time series, risks, and vaccine effects in the Grote Griepmeting, Gripenet, and Influweb cohorts, G. Gomes, C. Koppeschaar, D. Paolotti, S. Van Noort, C. Codeço, M. Van Ranst

Epidemics (2015)


Association between Recruitment Methods and Attrition in Internet-Based Studies, P. Bajardi, D. Paolotti, A. Vespignani, K. Eames, S. Funk, J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C. Koppeschaar, A. Franco, V. Faustino, A. Carnahan, M. Rehn, F. Merletti, J. Douwes, R. Firestone, L. Richiardi

PLoS ONE 9 (12) (2014)

Internet-Based Epidemiology, L. Richiardi, C. Pizzi, D. Paolotti

Handbook of Epidemiology (2014) p.439-469

The representativeness of a European multi-center network for influenza-like-illness participatory surveillance, P. Cantarelli, M. Debin, C. Turbelin, C. Poletto, T. Blanchon, A. Falchi, T. Hanslik, I. Bonmarin, D. Levy-Bruhl, A. Micheletti, D. Paolotti, A. Vespignani, J. Edmunds, K. Eames, R. Smallenburg, C. Koppeschaar, A. O Franco, V. Faustino, A. Carnahan, M. Rehn, V. Colizza

BMC Public Health 14 (2014) p.984

Determinants of Follow-Up Participation in the Internet-Based European Influenza Surveillance Platform Influenzanet, P. Bajardi, A. Vespignani, S. Funk, K. Eames, J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C. Koppeschaar, A. Franco, V. Faustino, A. Carnahan, M. Rehn, D. Paolotti

J Med Internet Res 16, 3 (2014)

Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience, D. Paolotti, A. Carnahan, V. Colizza, K. Eames, J. Edmunds, G. Gomes, C. Koppeschaar, M. Rehn, R. Smallenburg, C. Turbelin, S. Van Noort, A. Vespignani

Clinical Microbiology and Infection 20 (2014) p.17-21


On the usefulness of ontologies in epidemiology research and practice, J. Ferreira, D. Paolotti, F. Couto, M. Silva


Rapid assessment of influenza vaccine effectiveness: analysis of an internet-based cohort, K. Eames, E. Brooks-Pollock, D. Paolotti, M. Perosa, C. Gioannini, J. Edmunds




Internet-based surveillance of Influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic, N. Tilston, K. Eames, D. Paolotti, J. Edmunds

BMC Public Health 10:650 (2010)

Single aminoacidic mutations in meningococcal antigen fHbp have sizeable and predictable impact on its immunogenicity, D. Medini, A. Muzzi, D. Paolotti, D. Serruto, D. Brunelli, M. Comanducci, M. Guiliani, M. Scarselli, R. Rappouli, A. Covacci, M. Pizza

Proceedings of 17th International Pathogenic Neisseria Conference (2010)


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. Ramasco, N. Perra, M. Tizzoni, D. Paolotti, W. Van den Broeck, A. Valleron, A. Vespignani


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. Ramasco

Public Library of Science Currents: Influenza. RRN1129 (2009)

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. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani

BMC Medicine 7:45 (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. Ramasco, D. Paolotti, N. Perra, M. Tizzoni, W. Van den Broeck, V. Colizza, A. Vespignani

Emerging Health Threats Journal 2:e11 (2009)

Bistable Clustering in Driven Granular Mixtures, G. Costantini, D. Paolotti, U. Marini Bettolo and C. Cattuto

PHYSICA A 347, 411 (2005)

 Thermal convection in mono-disperse and bi-disperse granular gases: A simulation study, D. Paolotti, A. Barrat, U. Marini Bettolo Marconi, A. Puglisi

Phys. Rev. E 69, 061304 (2004)

Dynamical properties of vibrofluidized granular mixtures, D. Paolotti, C. Cattuto, U. Marini Bettolo Marconi and A. Puglisi

Granular Matter 5, 75 (2003)