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Credits

Portugal

Project leader: Ricardo Mexia, Instituto National de Saúde Dr. Ricardo Jorge, Lisbon, Portugal

ricardo.mexia [at] insa.min-saude.pt

Italy

Project leader: Daniela Paolotti, ISI Foundation, Turin, Italy

info [at] influweb.it

United Kingdom

Project leader: Michael Eldstein and Jamie Lopez Bernal, Public Health England, London, UK

webmaster [at] flusurvey.org.uk

Sweden

Project leader: Edward van Straten, Swedish Institute for Infectious Disease Control, Stockholm, Sweden

edward.van.straten [at] folkhalsomyndigheten.se

France

Project leader: Vittoria Colizza, Institut National de la Santé et de la recherche médicale, Paris, France

vittoria.colizza [at] inserm.fr

Spain

Project leader: Yamir Moreno, Institute for Biocomputation and Physics of Complex Systems, University of Zaragoza, Zaragoza, Spain

yamir.moreno [at] gmail.com

Ireland

Project leader: Jim Duggan, National University of Ireland Galway, Galway, Ireland

jim.duggan [at] nuigalway.ie

Switzerland

Project leader: Antoine Flahault, Institute for Global Health, Geneva, Switzerland

Antoine.Flahault [at] unige.ch

Denmark

Project leader: Charlotte Kjelsø, Statens Serum Institut, Copenhagen

JEL [at] ssi.dk

Belgium

Project leader: Pierre Vandamme, University of Antwerp
Project leader: Lisa Hermans, Hasselt University

lisa.hermans [at] uhasselt.be

Netherlands

Project leader: Loes Soetens, RIVM National Institute for Public Health and the Environment

Infectieradar [at] rivm.nl

Data

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)".

Restricted access

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.

Welcome to
InfluenzaNet

We need your help, Participate!

Project Information The Team The Data Publications

Analyses performed by the GrippeNet.fr team, from Inserm - Sorbonne Université, in collaboration with Santé publique France.

Project Information

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 countries in which Influenzanet is active are the following:

Denmark: influmeter.dk

France: www.grippenet.fr

Germany: grippeweb.rki.de

Italy: influweb.it

Ireland: flusurvey.ie

Portugal: gripenet.pt

Spain: www.gripenet.es

Sweden: www.halsorapport.se/sv

Switzerland: de.grippenet.ch, fr.grippenet.ch

UK: flusurvey.net

The Netherlands: https://www.infectieradar.nl/

Belgium: https://infectieradar.be/

Publications

2020

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)

2019

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)

https://doi.org/10.1186/s12889-019-7174-6

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)

https://doi.org/10.2807/1560-7917.ES.2019.24.25.1900053

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)

https://doi.org/10.1016/j.ijid.2018.11.036

2018

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)

https://doi.org/10.3399/bjgpopen17X101253

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)

https://doi.org/10.2196/publichealth.9616

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)

https://doi.org/10.2196/jmir.9084

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)

https://doi.org/10.2807/1560-7917.ES.2018.23.25.1700337

2017

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)

https://doi.org/10.2196/publichealth.7344

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)

https://doi.org/10.1186/s12879-017-2337-5

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)

https://doi.org/10.2196/publichealth.7429

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)

https://doi.org/10.1371/journal.pone.0169801

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)

https://doi.org/10.1145/3038912.3052670

2016

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)

https://doi.org/10.1186/s12889-016-2899-y

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)

https://doi.org/10.1016/j.vaccine.2016.03.034

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)

https://doi.org/10.3109/23744235.2015.1122224

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)

https://doi.org/10.1093/infdis/jiw280

2015

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)

https://doi.org/10.1016/j.vaccine.2015.08.067

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)

https://doi.org/10.1007/978-3-319-23461-8_21

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)

https://doi.org/10.1016/j.epidem.2015.05.001

2014

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)

https://doi.org/10.1371/journal.pone.0114925

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)

https://doi.org/10.2196/jmir.3010

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)

http://dx.doi.org/10.4161/hv.27439

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)

https://doi.org/10.1186/1471-2334-14-232

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)

https://doi.org/10.1186/1471-2458-14-984

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)

https://doi.org/10.1093/aje/kwu061

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)

https://doi.org/10.1111/1469-0691.12477

2013

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)

https://doi.org/10.1371/journal.pone.0064156

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)

https://doi.org/10.1371/journal.pone.0073675

2012

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)

https://doi.org/10.1017/S0950268811001804

Using the Internet to estimate influenza vaccine effectiveness.

W.J. Edmunds, S. Funk.

Expert review of vaccines, 11(9):1027-1029 (2012)

https://doi.org/10.1586/erv.12.88

2011

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)

https://doi.org/10.1186/1471-2334-11-68

2010

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)

https://doi.org/10.1186/1471-2458-10-650

2009

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)

https://doi.org/10.1016/j.vaccine.2009.05.042

2007

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)

https://doi.org/10.2807/esm.12.07.00722-en

2006

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)

https://doi.org/10.1186/1471-2458-6-242

Covid-19

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.

Useful Information About Covid-19

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.