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Published in: BMC Primary Care 1/2010

Open Access 01-12-2010 | Research article

Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness

Authors: Carla Truyers, Emmanuel Lesaffre, Stefaan Bartholomeeusen, Bert Aertgeerts, René Snacken, Bernard Brochier, Fernande Yane, Frank Buntinx

Published in: BMC Primary Care | Issue 1/2010

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Abstract

Background

Computerized morbidity registration networks might serve as early warning systems in a time where natural epidemics such as the H1N1 flu can easily spread from one region to another.

Methods

In this contribution we examine whether general practice based broad-spectrum computerized morbidity registration networks have the potential to act as a valid surveillance instrument of frequently occurring diseases. We compare general practice based computerized data assessing the frequency of influenza-like illness (ILI) and acute respiratory infections (ARI) with data from a well established case-specific sentinel network, the European Influenza Surveillance Scheme (EISS). The overall frequency and trends of weekly ILI and ARI data are compared using both networks.

Results

Detection of influenza-like illness and acute respiratory illness occurs equally fast in EISS and the computerized network. The overall frequency data for ARI are the same for both networks, the overall trends are similar, but the increases and decreases in frequency do not occur in exactly the same weeks. For ILI, the overall rate was slightly higher for the computerized network population, especially before the increase of ILI, the overall trend was almost identical and the increases and decreases occur in the same weeks for both networks.

Conclusions

Computerized morbidity registration networks are a valid tool for monitoring frequent occurring respiratory diseases and the detection of sudden outbreaks.
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Metadata
Title
Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
Authors
Carla Truyers
Emmanuel Lesaffre
Stefaan Bartholomeeusen
Bert Aertgeerts
René Snacken
Bernard Brochier
Fernande Yane
Frank Buntinx
Publication date
01-12-2010
Publisher
BioMed Central
Published in
BMC Primary Care / Issue 1/2010
Electronic ISSN: 2731-4553
DOI
https://doi.org/10.1186/1471-2296-11-24

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