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.</...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Snacken René [verfasserIn] Aertgeerts Bert [verfasserIn] Bartholomeeusen Stefaan [verfasserIn] Lesaffre Emmanuel [verfasserIn] Truyers Carla [verfasserIn] Brochier Bernard [verfasserIn] Yane Fernande [verfasserIn] Buntinx Frank [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2010

Übergeordnetes Werk:	In: BMC Family Practice - BMC, 2003, 11(2010), 1, p 24
Übergeordnetes Werk:	volume:11 ; year:2010 ; number:1, p 24

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/1471-2296-11-24

Katalog-ID:	DOAJ037080202

Internformat


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520			\|a <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<
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allfields	10.1186/1471-2296-11-24 doi (DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0 DE-627 ger DE-627 rakwb eng R5-920 Snacken René verfasserin aut Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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< Medicine (General) Aertgeerts Bert verfasserin aut Bartholomeeusen Stefaan verfasserin aut Lesaffre Emmanuel verfasserin aut Truyers Carla verfasserin aut Brochier Bernard verfasserin aut Yane Fernande verfasserin aut Buntinx Frank verfasserin aut In BMC Family Practice BMC, 2003 11(2010), 1, p 24 (DE-627)326644911 (DE-600)2041495-X 14712296 nnns volume:11 year:2010 number:1, p 24 https://doi.org/10.1186/1471-2296-11-24 kostenfrei https://doaj.org/article/99ae57fd6ccb44178e2ef9c521a718b0 kostenfrei http://www.biomedcentral.com/1471-2296/11/24 kostenfrei https://doaj.org/toc/1471-2296 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2010 1, p 24
spelling	10.1186/1471-2296-11-24 doi (DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0 DE-627 ger DE-627 rakwb eng R5-920 Snacken René verfasserin aut Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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< Medicine (General) Aertgeerts Bert verfasserin aut Bartholomeeusen Stefaan verfasserin aut Lesaffre Emmanuel verfasserin aut Truyers Carla verfasserin aut Brochier Bernard verfasserin aut Yane Fernande verfasserin aut Buntinx Frank verfasserin aut In BMC Family Practice BMC, 2003 11(2010), 1, p 24 (DE-627)326644911 (DE-600)2041495-X 14712296 nnns volume:11 year:2010 number:1, p 24 https://doi.org/10.1186/1471-2296-11-24 kostenfrei https://doaj.org/article/99ae57fd6ccb44178e2ef9c521a718b0 kostenfrei http://www.biomedcentral.com/1471-2296/11/24 kostenfrei https://doaj.org/toc/1471-2296 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2010 1, p 24
allfields_unstemmed	10.1186/1471-2296-11-24 doi (DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0 DE-627 ger DE-627 rakwb eng R5-920 Snacken René verfasserin aut Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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< Medicine (General) Aertgeerts Bert verfasserin aut Bartholomeeusen Stefaan verfasserin aut Lesaffre Emmanuel verfasserin aut Truyers Carla verfasserin aut Brochier Bernard verfasserin aut Yane Fernande verfasserin aut Buntinx Frank verfasserin aut In BMC Family Practice BMC, 2003 11(2010), 1, p 24 (DE-627)326644911 (DE-600)2041495-X 14712296 nnns volume:11 year:2010 number:1, p 24 https://doi.org/10.1186/1471-2296-11-24 kostenfrei https://doaj.org/article/99ae57fd6ccb44178e2ef9c521a718b0 kostenfrei http://www.biomedcentral.com/1471-2296/11/24 kostenfrei https://doaj.org/toc/1471-2296 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2010 1, p 24
allfieldsGer	10.1186/1471-2296-11-24 doi (DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0 DE-627 ger DE-627 rakwb eng R5-920 Snacken René verfasserin aut Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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< Medicine (General) Aertgeerts Bert verfasserin aut Bartholomeeusen Stefaan verfasserin aut Lesaffre Emmanuel verfasserin aut Truyers Carla verfasserin aut Brochier Bernard verfasserin aut Yane Fernande verfasserin aut Buntinx Frank verfasserin aut In BMC Family Practice BMC, 2003 11(2010), 1, p 24 (DE-627)326644911 (DE-600)2041495-X 14712296 nnns volume:11 year:2010 number:1, p 24 https://doi.org/10.1186/1471-2296-11-24 kostenfrei https://doaj.org/article/99ae57fd6ccb44178e2ef9c521a718b0 kostenfrei http://www.biomedcentral.com/1471-2296/11/24 kostenfrei https://doaj.org/toc/1471-2296 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2010 1, p 24
allfieldsSound	10.1186/1471-2296-11-24 doi (DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0 DE-627 ger DE-627 rakwb eng R5-920 Snacken René verfasserin aut Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness 2010 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <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< Medicine (General) Aertgeerts Bert verfasserin aut Bartholomeeusen Stefaan verfasserin aut Lesaffre Emmanuel verfasserin aut Truyers Carla verfasserin aut Brochier Bernard verfasserin aut Yane Fernande verfasserin aut Buntinx Frank verfasserin aut In BMC Family Practice BMC, 2003 11(2010), 1, p 24 (DE-627)326644911 (DE-600)2041495-X 14712296 nnns volume:11 year:2010 number:1, p 24 https://doi.org/10.1186/1471-2296-11-24 kostenfrei https://doaj.org/article/99ae57fd6ccb44178e2ef9c521a718b0 kostenfrei http://www.biomedcentral.com/1471-2296/11/24 kostenfrei https://doaj.org/toc/1471-2296 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2010 1, p 24
language	English
source	In BMC Family Practice 11(2010), 1, p 24 volume:11 year:2010 number:1, p 24
sourceStr	In BMC Family Practice 11(2010), 1, p 24 volume:11 year:2010 number:1, p 24
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Medicine (General)
isfreeaccess_bool	true
container_title	BMC Family Practice
authorswithroles_txt_mv	Snacken René @@aut@@ Aertgeerts Bert @@aut@@ Bartholomeeusen Stefaan @@aut@@ Lesaffre Emmanuel @@aut@@ Truyers Carla @@aut@@ Brochier Bernard @@aut@@ Yane Fernande @@aut@@ Buntinx Frank @@aut@@
publishDateDaySort_date	2010-01-01T00:00:00Z
hierarchy_top_id	326644911
id	DOAJ037080202
language_de	englisch
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callnumber-first	R - Medicine
author	Snacken René
spellingShingle	Snacken René misc R5-920 misc Medicine (General) Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
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topic_title	R5-920 Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
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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
ctrlnum	(DE-627)DOAJ037080202 (DE-599)DOAJ99ae57fd6ccb44178e2ef9c521a718b0
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
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author_browse	Snacken René Aertgeerts Bert Bartholomeeusen Stefaan Lesaffre Emmanuel Truyers Carla Brochier Bernard Yane Fernande Buntinx Frank
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author-letter	Snacken René
doi_str_mv	10.1186/1471-2296-11-24
author2-role	verfasserin
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
callnumber	R5-920
title_auth	Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness
abstract	<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<
abstractGer	<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<
abstract_unstemmed	<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<
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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
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Computerized general practice based networks yield comparable performance with sentinel data in monitoring epidemiological time-course of influenza-like illness and acute respiratory illness

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