Evidence map›Paper›PMID 28816649›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2017

Improving regional influenza surveillance through a combination of automated outbreak detection methods: the 2015/16 season in France.

Camille Pelat, Isabelle Bonmarin, Marc Ruello, Anne Fouillet, Céline Caserio-Schönemann, Daniel Levy-Bruhl, Yann Le Strat, Regional Influenza study group

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Federated systems for automated infection surveillance: a perspective.Antimicrobial resistance and infection control · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Rapid mapping of the spatial and temporal intensity of influenza.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019
    Article
  15. Article
  16. Article
  17. 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

8 authors.

Camille PelatSanté publique France, French national public health agency. Saint-Maurice, France.
Isabelle BonmarinSanté publique France, French national public health agency. Saint-Maurice, France.
Marc RuelloSanté publique France, French national public health agency. Saint-Maurice, France.
Anne FouilletSanté publique France, French national public health agency. Saint-Maurice, France.
Céline Caserio-SchönemannSanté publique France, French national public health agency. Saint-Maurice, France.
Daniel Levy-BruhlSanté publique France, French national public health agency. Saint-Maurice, France.
Yann Le StratSanté publique France, French national public health agency. Saint-Maurice, France.
Regional Influenza study groupMembers of the regional influenza study group are mentioned at the end of the article.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2014/15 influenza epidemic caused a work overload for healthcare facilities in France. The French national public health agency announced the start of the epidemic - based on indicators aggregated at the national level - too late for many hospitals to prepare. It was therefore decided to improve the influenza alert procedure through (i) the introduction of a pre-epidemic alert level to better anticipate future outbreaks, (ii) the regionalisation of surveillance so that healthcare structures can be informed of the arrival of epidemics in their region, (iii) the standardised use of data sources and statistical methods across regions. A web application was developed to deliver statistical results of three outbreak detection methods applied to three surveillance data sources: emergency departments, emergency general practitioners and sentinel general practitioners. This application was used throughout the 2015/16 influenza season by the epidemiologists of the headquarters and regional units of the French national public health agency. It allowed them to signal the first influenza epidemic alert in week 2016-W03, in Brittany, with 11 other regions in pre-epidemic alert. This application received positive feedback from users and was pivotal for coordinating surveillance across the agency's regional units.

Indexed as

Models, StatisticalDisease NotificationDisease OutbreaksFranceHumansInfluenza, HumanPopulation SurveillancePublic Health InformaticsReproducibility of ResultsSeasonsSensitivity and Specificityautomated surveillanceILIinfluenzainfluenza-like illnesssentinel surveillancestatisticssyndromic surveillance

Identifiers

PMID28816649
PMCPMC6373610

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.