Project leader: Ricardo Mexia, Instituto National de Saúde Dr. Ricardo Jorge, Lisbon, Portugal
ricardo.mexia [at] insa.min-saude.pt
Project leader: Daniela Paolotti, ISI Foundation, Turin, Italy
info [at] influweb.it
Project leader: Michael Eldstein and Jamie Lopez Bernal, Public Health England, London, UK
webmaster [at] flusurvey.org.uk
Project leader: Edward van Straten, Swedish Institute for Infectious Disease Control, Stockholm, Sweden
edward.van.straten [at] folkhalsomyndigheten.se
Project leader: Vittoria Colizza, Institut National de la Santé et de la recherche médicale, Paris, France
vittoria.colizza [at] inserm.fr
Project leader: Yamir Moreno, Institute for Biocomputation and Physics of Complex Systems, University of Zaragoza, Zaragoza, Spain
yamir.moreno [at] gmail.com
Project leader: Jim Duggan, National University of Ireland Galway, Galway, Ireland
jim.duggan [at] nuigalway.ie
Project leader: Antoine Flahault, Institute for Global Health, Geneva, Switzerland
Antoine.Flahault [at] unige.ch
Project leader: Charlotte Kjelsø, Statens Serum Institut, Copenhagen
JEL [at] ssi.dk
Project leader: Pierre Vandamme, University of Antwerp
Project leader: Lisa Hermans, Hasselt University
lisa.hermans [at] uhasselt.be
Project leader: Loes Soetens, RIVM National Institute for Public Health and the Environment
Infectieradar [at] rivm.nl
The incidence for Influenza-like Illness (ILI) can be downloaded as CSV files (importable into Excel). The number of active participants, the number of ILI onsets and the calculated incidence are listed for each week. When using these data please attribute it to Influenzanet as follows: "Data Source: Influenzanet (http://www.influenzanet.eu)".
To obtain access to the more detailed Influenzanet data, please contact the national organisers of the Influenzanet systems. Any privacy sensitive information, such as email-addresses, will not be shared with third parties.
Influenzanet welcomes collaboration with scientists and researchers outside our consortium. If you are interested, in particular in international Influenzanet data, please fill in the application form. Your application is subject to approval from the Influenzanet Science Committee, which aims to react within short notice to your request.
Influenzanet is a Europe-wide network to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the internet. It is operational in nine countries. In contrast with the traditional system of sentinel networks of mainly primary care physicians, Influenzanet obtains its data directly from the population. This creates a fast and flexible monitoring system whose uniformity allows for direct comparison of ILI rates between countries.
Any resident of a country where Influenzanet is implemented can participate by completing an online application form, which contains various medical, geographic and behavioural questions. Participants are reminded weekly to report any symptoms they have experienced since their last visit. The incidence of ILI is determined on the basis of a uniform case definition.
We need the help of all of you to collect reliable information on the circulation of the disease even among those people who don't visit a doctor for theirs symptom. Participation is entirely voluntary, and information is collected for research purposes only. All analysis is carried out on anonymous datasets.
The Netherlands: https://www.infectieradar.nl/
Pullano, G., Di Domenico, L., Sabbatini, C.E. et al.
Underdetection of COVID-19 cases in France threatens epidemic control.
Nature (2020). https://doi.org/10.1038/s41586-020-03095-6
A. Richard, L. Mueller, A. Wisniak, A. Thiabaud, T. Merle, D. Dietrich, D. Paolotti, E. Jeannot, A. Flahault
Grippenet: A New Tool for the Monitoring, Risk-Factor and Vaccination Coverage Analysis of Influenza-Like Illness in Switzerland
Vaccines 8/3 (2020)
N. Gozzi, D. Perrotta, D. Paolotti, N. Perra
Towards a data-driven characterization of behavioral changes induced by the seasonal flu
PLOS Computational Biology 16(5): e1007879 (2020)
D. Perrotta, D. Paolotti, D. Delle Vedove, C. Obi, R. Pebody, R. Schifanella
Spatio-temporal Analysis of Flu-related Drugs Uptake in an Online Cohort in England
Proceedings of the 9th International Conference on Digital Public Health (2019)
L. D. Genevieve, A. Martani, T. Wangmo, D. Paolotti, C. Koppeschaar, C. Kjels, C. Guerrisi, M. Hirsch, O. Woolley-Meza, P. Lukowicz, A. Flahault, B. S. Elger
Participatory Disease Surveillance Systems: Ethical Framework
Journal of Medical Internet Research 21(5) (2019)
K. Kalimeri, M. Delno, C. Cattuto, D. Perrotta, V. Colizza, C. Guerrisi, C. Turbelin, J. Duggan, J. Edmunds, C. Obi, R. Pebody, A.O. Franco, Y. Moreno, S. Meloni, C. Koppeschaar, C. Kjelso, R. Mexia, D. Paolotti
Unsupervised extraction of epidemic syndromes from participatory influenza surveillance self-reported symptoms
PLoS Computational Biology 15(4), e1006173 (2019)
Factors associated with influenza-like-illness: a crowdsourced cohort study from 2012/13 to 2017/18.
C. Guerrisi, M. Ecollan, C. Souty, L. Rossignol, C. Turbelin, M. Debin, T. Goronflot, P.Y. Boëlle, T. Hanslik, V. Colizza, T. Blanchon.
BMC Public Health 19:879 (2019)
Population perception of mandatory childhood vaccination programme before its implementation, France, 2017.
P. Mathieu, A. Gautier, J. Raude, T. Goronflot, T. Launay, M. Debin, C. Guerrisi, C. Turbelin, T. Hanslik, C. Jestin, V. Colizza, T. Blanchon, L. Rossignol.
Euro Surveill. 24(25) (2019)
Global flu view: a platform to connect crowdsourced disease surveillance around the world.
A.W. Crawley, D. Paolotti, C. Dalton, J. Brownstein, M. Smolinski.
International Journal of Infectious Diseases, 79:7 (2019)
A topological data analysis approach to influenza-like-illness.
J.P. Costa, P. Škraba, D. Paolotti, R. Mexia.
Proceedings of the ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK) (2018)
Healthcare-seeking behaviour in case of influenza-like illness in the French general population and factors associated with a GP consultation: an observational prospective study.
M. Ariza, C. Guerrisi, C. Souty, L. Rossignol, C. Turbelin, T. Hanslik, V. Colizza, T. Blanchon.
BJGP Open, 1(4): bjgpopen17X101253 (2018)
Research ethics in the European Influenzanet consortium: Scoping review.
L.D. Geneviève, T. Wangmo, D. Dietrich, O. Woolley-Meza, A. Flahault, B.S. Elger.
JMIR Public Health Surveillance, 4(4):e67 (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.
C. Wenham, E.R. Gray, C.E. Keane, M. Donati, D. Paolotti, R. Pebody, E. Fragaszy, R.A. McKendry, W.J. Edmunds.
Journal of Medical Internet Research, 20(3):e71 (2018)
The potential value of crowdsourced surveillance systems in supplementing sentinel influenza networks: the case of France.
C. Guerrisi, C. Turbelin, C. Souty, C. Poletto, T. Blanchon, T. Hanslik, I. Bonmarin, D. Levy-Bruhl, V. Colizza.
Eurosurveillance, 23(25) (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.S. Vullikanti, M.L. Wilson, Q. Zhang.
JMIR Public Health and Surveillance, 3(4):e83 (2017)
Disease severity determines health-seeking behaviour amongst individuals with influenza-like illness in an internet-based cohort.
M. Peppa, W.J. Edmunds, S. Funk.
BMC infectious diseases, 17(1):238 (2017)
Influenzanet: Citizens among 10 countries collaborating to monitor influenza in Europe.
C. E. Koppeschaar, V. Colizza, C. Guerrisi, C. Turbelin, J. Duggan, W.J. Edmunds, C. Kjelsø, R. Mexia, Y. Moreno, S. Meloni, D. Paolotti, D. Perrotta, E. van Straten, A.O. Franco.
JMIR Public Health and Surveillance, 3(3):e66 (2017)
Participatory online surveillance as a supplementary tool to sentinel doctors for influenza-like illness surveillance in Italy.
D. Perrotta, A. Bella, C. Rizzo, D. Paolotti.
PloS one, 12(1):e0169801 (2017)
Using participatory Web-based surveillance data to improve seasonal influenza forecasting in Italy.
D. Perrotta, M. Tizzoni, D. Paolotti. In Proceedings of the 26th International Conference on World Wide Web, pages 303-310 (2017)
First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort.
P. Loubet, C. Guerrisi, C. Turbelin, B. Blondel, O. Launay, M. Bardou, T. Blanchon, I. Bonmarin, F. Goffinet, P. Ancel, V. Colizza, T. Hanslik, S. Kernéis.
BMC Public Health, 16(1):253 (2016)
Influenza during pregnancy: Incidence, vaccination coverage and attitudes toward vaccination in the French web-based cohort G-GrippeNet.
P. Loubet, C. Guerrisi, C. Turbelin, B. Blondel, O. Launay, M. Bardou, F. Goffinet, V. Colizza, T. Hanslik, S. Kernéis.
Vaccine, 34(20):2390 (2016)
Influmeter – an online tool for self-reporting of influenza-like illness in Denmark.
C. Kjelsø, M. Galle, H. Bang, S. Ethelberg, T.G. Krause.
Infectious Diseases, 48(4):322 (2016)
Participatory syndromic surveillance of influenza in Europe.
C. Guerrisi, C. Turbelin, T. Blanchon, T. Hanslik, I. Bonmarin, D. Levy-Bruhl, D. Perrotta, D. Paolotti, R. Smallenburg, C.E. Koppeschaar, A.O. Franco, R. Mexia, W.J. Edmunds, B. Sile, R. Pebody, E. van Straten, S. Meloni, Y. Moreno, J. Duggan, C. Kjelsø, V. Colizza.
Journal of Infectious Diseases, 214(suppl 4):S386-S392 (2016)
Opinion about seasonal influenza vaccination among the general population 3 years after the A(H1N1)pdm2009 influenza pandemic.
K. Boiron, M. Sarazin, M. Debin, J. Raude, L. Rossignol, C. Guerrisi, D. Odinkemelu, T. Hanslik, V. Colizza, T. Blanchon.
Vaccine, 33(48):6849 (2015)
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.
In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pages 237-240. Springer (2015)
Ten-year performance of influenzanet: ILI time series, risks, vaccine effects, and care-seeking behaviour.
S.P. van Noort, C.T. Codeço, C.E. Koppeschaar, M. Van Ranst, D. Paolotti, M.G.M. Gomes.
Epidemics, 13:28-36 (2015)
Association between recruitment methods and attrition in Internet-based studies.
P. Bajardi, D. Paolotti, A. Vespignani, K. Eames, S. Funk, W. J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C.E. Koppeschaar, A.O. Franco, V. Faustino, A. Carnahan, M. Rehn, F. Merletti, J. Douwes, R. Firestone, L. Richiardi.
PloS one, 9(12):e114925 (2014)
Determinants of follow-up participation in the Internet-based European influenza surveillance platform Influenzanet.
P. Bajardi, A. Vespignani, S. Funk, K. T. Eames, W. J. Edmunds, C. Turbelin, M. Debin, V. Colizza, R. Smallenburg, C. E. Koppeschaar, A.O. Franco, V. Faustino, A. Carnahan, M. Rehn, D. Paolotti.
Journal of medical Internet research, 16(3):e78 (2014)
Effectiveness of 2012-2013 influenza vaccine against influenza-like illness in general population: Estimation in a French web-based cohort.
M. Debin, V. Colizza, T. Blanchon, T. Hanslik, C. Turbelin, and A. Falchi.
Human vaccines & immunotherapeutics, 10(3):536-543 (2014)
Incidence and risk factors for influenza-like-illness in the UK: online surveillance using Flusurvey.
A.J. Adler, K.T. Eames, S. Funk, W.J. Edmunds.
BMC infectious diseases, 14(1):232 (2014)
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.E. Koppeschaar, A.O. Franco, V. Faustino, A. Carnahan, M. Rehn, V. Colizza.
BMC public health, 14(1):1 (2014)
Utilizing syndromic surveillance data for estimating levels of influenza circulation.
O. Patterson-Lomba, S.P. van Noort, B.J. Cowling, J. Wallinga, M.G.M. Gomes, M. Lipsitch, E. Goldstein. American journal of epidemiology, 179(11):1394-1401 (2014)
Web-based participatory surveillance of infectious diseases: the influenzanet participatory surveillance experience.
D. Paolotti, A. Carnahan, V. Colizza, K. Eames, W.J. Edmunds, M.G.M. Gomes, C.E. Koppeschaar, M. Rehn, R. Smallenburg, C. Turbelin, S. van Noort and A. Vespignani.
Clinical Microbiology and Infection, 20(1):17-21 (2014)
Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders.
Y. Vandendijck, C. Faes, and N. Hens.
PLoS One, 8(5):e64156 (2013)
Evaluating the feasibility and participants’ representativeness of an online nationwide surveillance system for influenza in France.
M. Debin, C. Turbelin, T. Blanchon, I. Bonmarin, A. Falchi, T. Hanslik, D. Levy-Bruhl, C. Poletto, V. Colizza, Y. Moreno.
PLoS ONE, 8(9);e73675 (2013)
Rapid assessment of influenza vaccine effectiveness: Analysis of an internet-based cohort.
K.T.D. Eames, E. Brooks-Pollock, D. Paolotti, M. Perosa, C. Gioannini and W.J. Edmunds.
Epidemiology and Infection, 140(7):1309-1315 (2012)
Using the Internet to estimate influenza vaccine effectiveness.
W.J. Edmunds, S. Funk.
Expert review of vaccines, 11(9):1027-1029 (2012)
Using an online survey of healthcare-seeking behaviour to estimate the magnitude and severity of the 2009 H1N1v influenza epidemic in England.
E. Brooks-Pollock, N. Tilston, W.J. Edmunds, K.T. Eames.
BMC infectious diseases, 11(1):1 (2011)
Internet-based monitoring system for influenza-like illness: H1N1 surveillance in Italy.
D. Paolotti, C. Gioannini, V. Colizza, A. Vespignani.
In Proceedings of the 3rd International ICST Conference on Electronic Healthcare for the 21st century. Casablanca, pages 13-15 (2010)
Internet-based surveillance of influenza-like-illness in the UK during the 2009 H1N1 influenza pandemic.
N.L. Tilston, K.T. Eames, D. Paolotti, T. Ealden, W.J. Edmunds.
BMC Public Health, 10(1):650 (2010)
Internet-based monitoring of influenza-like illness in the general population: Experience of five influenza seasons in The Netherlands.
I.H.M. Friesema, C.E. Koppeschaar, G.A. Donker, F. Dijkstra, S.P. van Noort, R. Smallenburg, W. van der Hoek, M.A.B. van der Sande.
Vaccine, 27(45):6353-6357 (2009)
Gripenet: an internet-based system to monitor influenza-like illness uniformly across Europe.
S.P. van Noort , M. Muehlen, H. Rebelo de Andrade, C.E. Koppeschaar, J.M. Lima Lourenço, M.G.M. Gomes. Euro Surveill,12(7):E5-6 (2007)
Internet-based monitoring of influenza-like illness (ILI) in the general population of the Netherlands during the 2003-2004 influenza season.
R.L. Marquet, A.I.M. Bartelds, S.P. van Noort, C.E. Koppeschaar, J. Paget, F.G. Schellevis, J. van der Zee.
BMC public health, 4;6:242 (2006)
The national platforms in the various countries participating to Influenzanet have now been adapted to monitor community prevalence and trend of symptoms related of the novel coronavirus. The systems will capture additional information about possible community acquired covid-19 using self reported respiratory symptoms reported on the platform. As the disease is still evolving, we are still working on ways to make sure we are gathering the right information that can provide useful insights on community transmission, exposure risk, changes in healthcare seeking behaviour as well as adherence to recommendations to help limit the spread of the virus in the general population.
COVID-19 is a new illness that can affect your lungs and airways. It's caused by a virus called coronavirus. Mode of transmission and symptoms are very similar to those caused by the influenza virus. As this is a novel virus, we are advised to stay at home/self-isolate if we are experiencing coronavirus symptoms to limit onward transmission and protect others. For more information on what to do or if you have concerns, please visit the World Health Organization page.