Evidence map›Paper›PMID 32605076›Full record

ArticleVaccines2020

Grippenet: A New Tool for the Monitoring, Risk-Factor and Vaccination Coverage Analysis of Influenza-Like Illness in Switzerland.

Aude Richard, Laura Müller, Ania Wisniak, Amaury Thiabaud, Thibaut Merle, Damien Dietrich, Daniela Paolotti, Emilien Jeannot, Antoine Flahault

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
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

9 authors at 2 institutions in 3 countries.

Aude RichardInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Laura MüllerInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Ania WisniakInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Amaury ThiabaudInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Thibaut MerleInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Damien DietrichInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Daniela PaolottiInstitute for Scientific Interchange Foundation, 10126 Torino, Italy.
Emilien JeannotInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
Antoine FlahaultInstitute of Global Health, Faculty of Medicine, University of Geneva, 1202 Geneva, Switzerland.
University of Geneva · CHInstitute for Scientific Interchange · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implemented in Switzerland in November 2016, Grippenet provides Internet-based participatory surveillance of influenza-like illness (ILI). The aim of this research is to test the feasibility of such a system and its ability to detect risk factors and to assess ILI-related behaviors. Participants filled in a web-based socio-demographic and behavioral questionnaire upon registration, and a weekly symptoms survey during the influenza season. ILI incidence was calculated weekly, and risk factors associated to ILI were analyzed at the end of each season. From November 2016 to May 2019, 1247 participants were included. The crossing of the Sentinel System (Sentinella) epidemic threshold was associated with an increase or decrease of Grippenet ILI incidence, within the same week or earlier. The number of active users varied according to ILI incidence. Factors associated with ILI were: ages 0-4 compared with 5-14 (adjusted odds ratio (AOR) 0.6, 95% confidence interval (CI) 0.19-0.99), 15-29 (AOR 0.29, 95% CI 0.15-0.60), and 65+ (AOR 0.38, 95% CI 0.16-0.93); female sex (male AOR 0.81, 95% CI 0.7-0.95); respiratory allergies (AOR 1.58, 95% CI 1.38-1.96), not being vaccinated (AOR 2.4, 95% CI 1.9-3.04); and self-employment (AOR 1.97, 95% CI 1.33-3.03). Vaccination rates were higher than those of the general population but not high enough to meet the Swiss recommendations. Approximately, 36.2% to 42.5% of users who reported one or more ILIs did not seek medical attention. These results illustrate the potential of Grippenet in complementing Sentinella for ILI monitoring in Switzerland.

Indexed as

influenzainfluenza-like illnessparticipatory surveillancesyndromic surveillance

Identifiers

PMID32605076
PMCPMC7565003
OpenAlexW3037226054

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.