Evidence map›Paper›PMID 28928112›Full record

ArticleJMIR public health and surveillance2017

Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe.

Carl E Koppeschaar, Vittoria Colizza, Caroline Guerrisi, Clément Turbelin, Jim Duggan, W John Edmunds, Charlotte Kjelsø, Ricardo Mexia, Yamir Moreno, Sandro Meloni and 4 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Epidemic tracking and forecasting: Lessons learned from a tumultuous year.Proceedings of the National Academy of Sciences of the United States of America · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Carl E KoppeschaarDe Grote Griepmeting, Science in Action BV, Amsterdam, Netherlands.ORCID 0000-0002-2665-6855
Vittoria ColizzaUPMC Univ Paris 06, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Sorbonne Universités, Paris, France.ORCID 0000-0002-2113-2374
Caroline GuerrisiUPMC Univ Paris 06, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Sorbonne Universités, Paris, France.ORCID 0000-0002-2425-4457
Clément TurbelinUPMC Univ Paris 06, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Sorbonne Universités, Paris, France.ORCID 0000-0002-5074-9541
Jim DugganSchool of Engineering and Informatics, National University of Ireland, Galway, Ireland.ORCID 0000-0002-7507-8617
W John EdmundsFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-9179-2917
Charlotte KjelsøStatens Serum Institute, København, Denmark.ORCID 0000-0002-9251-6025
Ricardo MexiaInstituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal.ORCID 0000-0002-0511-7940
Yamir MorenoInstitute for Biocomputation and Physics of Complex Systems, Department of Theoretical Physics, University of Zaragoza, Zaragoza, Spain.ORCID 0000-0002-0895-1893
Sandro MeloniInstitute for Biocomputation and Physics of Complex Systems, Department of Theoretical Physics, University of Zaragoza, Zaragoza, Spain.ORCID 0000-0001-6202-3302
Daniela PaolottiInstitute for Scientific Interchange Foundation, Torino, Italy.ORCID 0000-0003-1356-3470
Daniela PerrottaInstitute for Scientific Interchange Foundation, Torino, Italy.ORCID 0000-0003-3014-8551
Edward van StratenPublic Health Agency of Sweden, Solna, Sweden.ORCID 0000-0001-6595-5666
Ana O FrancoFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-9195-965X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe wide availability of the Internet and the growth of digital communication technologies have become an important tool for epidemiological studies and health surveillance. Influenzanet is a participatory surveillance system monitoring the incidence of influenza-like illness (ILI) in Europe since 2003. It is based on data provided by volunteers who self-report their symptoms via the Internet throughout the influenza season and currently involves 10 countries.

objectiveIn this paper, we describe the Influenzanet system and provide an overview of results from several analyses that have been performed with the collected data, which include participant representativeness analyses, data validation (comparing ILI incidence rates between Influenzanet and sentinel medical practice networks), identification of ILI risk factors, and influenza vaccine effectiveness (VE) studies previously published. Additionally, we present new VE analyses for the Netherlands, stratified by age and chronic illness and offer suggestions for further work and considerations on the continuity and sustainability of the participatory system.

methodsInfluenzanet comprises country-specific websites where residents can register to become volunteers to support influenza surveillance and have access to influenza-related information. Participants are recruited through different communication channels. Following registration, volunteers submit an intake questionnaire with their postal code and sociodemographic and medical characteristics, after which they are invited to report their symptoms via a weekly electronic newsletter reminder. Several thousands of participants have been engaged yearly in Influenzanet, with over 36,000 volunteers in the 2015-16 season alone.

resultsIn summary, for some traits and in some countries (eg, influenza vaccination rates in the Netherlands), Influenzanet participants were representative of the general population. However, for other traits, they were not (eg, participants underrepresent the youngest and oldest age groups in 7 countries). The incidence of ILI in Influenzanet was found to be closely correlated although quantitatively higher than that obtained by the sentinel medical practice networks. Various risk factors for acquiring an ILI infection were identified. The VE studies performed with Influenzanet data suggest that this surveillance system could develop into a complementary tool to measure the effectiveness of the influenza vaccine, eventually in real time.

conclusionsResults from these analyses illustrate that Influenzanet has developed into a fast and flexible monitoring system that can complement the traditional influenza surveillance performed by sentinel medical practices. The uniformity of Influenzanet allows for direct comparison of ILI rates between countries. It also has the important advantage of yielding individual data, which can be used to identify risk factors. The way in which the Influenzanet system is constructed allows the collection of data that could be extended beyond those of ILI cases to monitor pandemic influenza and other common or emerging diseases.

Indexed as

EuropeinfluenzaInternetsurveillancevaccination

Identifiers

PMID28928112
PMCPMC5627046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.