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
Author Information
  1. Camille Pelat: Santé publique France, French national public health agency. Saint-Maurice, France.
  2. Isabelle Bonmarin: Santé publique France, French national public health agency. Saint-Maurice, France.
  3. Marc Ruello: Santé publique France, French national public health agency. Saint-Maurice, France.
  4. Anne Fouillet: Santé publique France, French national public health agency. Saint-Maurice, France.
  5. Céline Caserio-Schönemann: Santé publique France, French national public health agency. Saint-Maurice, France.
  6. Daniel Levy-Bruhl: Santé publique France, French national public health agency. Saint-Maurice, France.
  7. Yann Le Strat: Santé publique France, French national public health agency. Saint-Maurice, France.
  8. : Members of the regional influenza study group are mentioned at the end of the article.

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.

Keywords

References

  1. Stat Med. 1999 Dec 30;18(24):3463-78 [PMID: 10611619]
  2. Euro Surveill. 2006;11(12):225-9 [PMID: 17370967]
  3. BMC Med Inform Decis Mak. 2007 Oct 15;7:29 [PMID: 17937786]
  4. Stat Med. 2008 Sep 30;27(22):4455-68 [PMID: 18618414]
  5. Public Health Rep. 1963 Jun;78(6):494-506 [PMID: 19316455]
  6. BMC Med Inform Decis Mak. 2009 Aug 10;9:39 [PMID: 19664256]
  7. Am J Public Health. 1991 Jan;81(1):97-9 [PMID: 1983924]
  8. Emerg Infect Dis. 2010 Sep;16(9):1396-402 [PMID: 20735923]
  9. Influenza Other Respir Viruses. 2013 Jul;7(4):546-58 [PMID: 22897919]
  10. Epidemiol Infect. 2015 Jan;143(1):1-12 [PMID: 25023603]
  11. Popul Health Metr. 2014 Jul 26;12:19 [PMID: 25435814]
  12. Euro Surveill. 2015 May 14;20(19):35-8 [PMID: 25990360]
  13. PLoS One. 2015 Oct 29;10(10):e0141776 [PMID: 26513364]
  14. Epidemiol Infect. 2016 Aug;144(11):2295-305 [PMID: 27350234]
  15. Commun Dis Rep CDR Rev. 1993 May 21;3(6):R82-7 [PMID: 7693158]

MeSH Term

Disease Notification
Disease Outbreaks
France
Humans
Influenza, Human
Models, Statistical
Population Surveillance
Public Health Informatics
Reproducibility of Results
Seasons
Sensitivity and Specificity

Word Cloud

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