European Journal of Epidemiology

, Volume 14, Issue 3, pp 275–285

Influenza A and B epidemic criteria based on time-series analysis of health services surveillance data

  • Philippe Quénel
  • William Dab
Article

DOI: 10.1023/A:1007467814485

Cite this article as:
Quénel, P. & Dab, W. Eur J Epidemiol (1998) 14: 275. doi:10.1023/A:1007467814485

Abstract

Many countries now have epidemiological surveillance systems using health services-based indicators that allow detection of influenza epidemics. However, there is no accepted criterion for defining an influenza epidemic. An epidemic criterion has been developed, based on a time-series analysis of health services-based indicators collected on a weekly basis by a surveillance network implemented in the Paris region since 1984: the Groupe Régional d'Observation de la Grippe (GROG). For each new season, an epidemic threshold is independently defined for each health services-based indicator as the upper limit of the one-sided confidence interval of the expected value calculated from the weekly differences between the observed number of events and those predicted by a SARIMA model fitted on the non-epidemic data of previous seasons. Epidemic criteria for influenza A and B are then defined from the combination of both viral indicators and epidemic thresholds of individual health services-based indicators. Among health indicators, sick-leave data collected from GP's or the Health Insurance system, emergency home medical visits, and influenza-like-illness reported by GP's are the most sensitive indicators for the early recognition of epidemics. The exceeding of the above mentioned thresholds combined with virological data allows the specific detection of influenza A or B epidemics. This time-series method of analysing surveillance data provides early and reliable recognition of these epidemics.

EpidemicsHealth services-based indicatorsInfluenzaPublic health surveillanceTime-series analysis

Copyright information

© Kluwer Academic Publishers 1998

Authors and Affiliations

  • Philippe Quénel
    • 1
  • William Dab
    • 2
  1. 1.Réseau National de Santé PubliqueCedexFrance
  2. 2.EDF-GDF, Service des études médicalesParisFrance