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

<p>Abstract</p> <p>Background</p> <p>Computerized morbidity registration networks might serve as early warning systems in a time where natural epidemics such as the H<sub>1</sub>N<sub>1 </sub>flu can easily spread from one region to another.</...

Full description

Bibliographic Details
Main Authors: Snacken René, Aertgeerts Bert, Bartholomeeusen Stefaan, Lesaffre Emmanuel, Truyers Carla, Brochier Bernard, Yane Fernande, Buntinx Frank
Format: Article
Language:English
Published: BMC 2010-03-01
Series:BMC Family Practice
Online Access:http://www.biomedcentral.com/1471-2296/11/24
id doaj-99ae57fd6ccb44178e2ef9c521a718b0
record_format Article
spelling doaj-99ae57fd6ccb44178e2ef9c521a718b02020-11-25T03:24:50ZengBMCBMC Family Practice1471-22962010-03-011112410.1186/1471-2296-11-24Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illnessSnacken RenéAertgeerts BertBartholomeeusen StefaanLesaffre EmmanuelTruyers CarlaBrochier BernardYane FernandeBuntinx Frank<p>Abstract</p> <p>Background</p> <p>Computerized morbidity registration networks might serve as early warning systems in a time where natural epidemics such as the H<sub>1</sub>N<sub>1 </sub>flu can easily spread from one region to another.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>Computerized morbidity registration networks are a valid tool for monitoring frequent occurring respiratory diseases and the detection of sudden outbreaks.</p> http://www.biomedcentral.com/1471-2296/11/24
collection DOAJ
language English
format Article
sources DOAJ
author Snacken René
Aertgeerts Bert
Bartholomeeusen Stefaan
Lesaffre Emmanuel
Truyers Carla
Brochier Bernard
Yane Fernande
Buntinx Frank
spellingShingle Snacken René
Aertgeerts Bert
Bartholomeeusen Stefaan
Lesaffre Emmanuel
Truyers Carla
Brochier Bernard
Yane Fernande
Buntinx Frank
Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
BMC Family Practice
author_facet Snacken René
Aertgeerts Bert
Bartholomeeusen Stefaan
Lesaffre Emmanuel
Truyers Carla
Brochier Bernard
Yane Fernande
Buntinx Frank
author_sort Snacken René
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
title_short Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
title_full Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
title_fullStr Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
title_full_unstemmed Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
title_sort computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
publisher BMC
series BMC Family Practice
issn 1471-2296
publishDate 2010-03-01
description <p>Abstract</p> <p>Background</p> <p>Computerized morbidity registration networks might serve as early warning systems in a time where natural epidemics such as the H<sub>1</sub>N<sub>1 </sub>flu can easily spread from one region to another.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusions</p> <p>Computerized morbidity registration networks are a valid tool for monitoring frequent occurring respiratory diseases and the detection of sudden outbreaks.</p>
url http://www.biomedcentral.com/1471-2296/11/24
work_keys_str_mv AT snackenrene computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT aertgeertsbert computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT bartholomeeusenstefaan computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT lesaffreemmanuel computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT truyerscarla computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT brochierbernard computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT yanefernande computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
AT buntinxfrank computerizedgeneralpracticebasednetworksyieldcomparableperformancewithsentineldatainmonitoringepidemiologicaltimecourseofinfluenzalikeillnessandacuterespiratoryillness
_version_ 1724599574135308288