Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders.
Identifieur interne : 000047 ( Main/Exploration ); précédent : 000046; suivant : 000048Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders.
Auteurs : Yannick Vandendijck [Belgique] ; Christel Faes ; Niel HensSource :
- PloS one [ 1932-6203 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- épidémiologie : Belgique, Grippe humaine.
- Collecte de données, Facteurs de risque, Humains, Incidence, Internet, Modèles biologiques, Épidémiosurveillance.
- Wicri :
- geographic : Belgique.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Belgium.
- epidemiology : Influenza, Human.
- methods : Data Collection.
- Epidemiological Monitoring, Humans, Incidence, Internet, Models, Biological, Risk Factors.
Abstract
In 2003, an internet-based monitoring system of influenza-like illness (ILI), the Great Influenza Survey (GIS), was initiated in Belgium. For the Flemish part of Belgium, we investigate the representativeness of the GIS population and assess the validity of the survey in terms of ILI incidence during eight influenza seasons (from 2003 through 2011). The validity is investigated by comparing estimated ILI incidences from the GIS with recorded incidences from two other monitoring systems, (i) the Belgian Sentinel Network and (ii) the Google Flu Trends, and by performing a risk factor analysis to investigate whether the risks on acquiring ILI in the GIS population are comparable with results in the literature. A random walk model of first order is used to estimate ILI incidence trends based on the GIS. Good to excellent correspondence is observed between the estimated ILI trends in the GIS and the recorded trends in the Sentinel Network and the Google Flu Trends. The results of the risk factor analysis are in line with the literature. In conclusion, the GIS is a useful additional surveillance network for ILI monitoring in Flanders. The advantages are the speed at which information is available and the fact that data is gathered directly in the community at an individual level.
DOI: 10.1371/journal.pone.0064156
PubMed: 23691162
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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For the Flemish part of Belgium, we investigate the representativeness of the GIS population and assess the validity of the survey in terms of ILI incidence during eight influenza seasons (from 2003 through 2011). The validity is investigated by comparing estimated ILI incidences from the GIS with recorded incidences from two other monitoring systems, (i) the Belgian Sentinel Network and (ii) the Google Flu Trends, and by performing a risk factor analysis to investigate whether the risks on acquiring ILI in the GIS population are comparable with results in the literature. A random walk model of first order is used to estimate ILI incidence trends based on the GIS. Good to excellent correspondence is observed between the estimated ILI trends in the GIS and the recorded trends in the Sentinel Network and the Google Flu Trends. The results of the risk factor analysis are in line with the literature. In conclusion, the GIS is a useful additional surveillance network for ILI monitoring in Flanders. The advantages are the speed at which information is available and the fact that data is gathered directly in the community at an individual level.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23691162</PMID><DateCompleted><Year>2013</Year><Month>12</Month><Day>16</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Electronic-Print"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>5</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Eight years of the Great Influenza Survey to monitor influenza-like illness in Flanders.</ArticleTitle><Pagination><MedlinePgn>e64156</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0064156</ELocationID><Abstract><AbstractText>In 2003, an internet-based monitoring system of influenza-like illness (ILI), the Great Influenza Survey (GIS), was initiated in Belgium. For the Flemish part of Belgium, we investigate the representativeness of the GIS population and assess the validity of the survey in terms of ILI incidence during eight influenza seasons (from 2003 through 2011). The validity is investigated by comparing estimated ILI incidences from the GIS with recorded incidences from two other monitoring systems, (i) the Belgian Sentinel Network and (ii) the Google Flu Trends, and by performing a risk factor analysis to investigate whether the risks on acquiring ILI in the GIS population are comparable with results in the literature. A random walk model of first order is used to estimate ILI incidence trends based on the GIS. Good to excellent correspondence is observed between the estimated ILI trends in the GIS and the recorded trends in the Sentinel Network and the Google Flu Trends. The results of the risk factor analysis are in line with the literature. In conclusion, the GIS is a useful additional surveillance network for ILI monitoring in Flanders. 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IdType="pubmed">11580874</ArticleId></ArticleIdList></Reference><Reference><Citation>Pediatr Infect Dis J. 2004 Jan;23(1 Suppl):S58-64</Citation><ArticleIdList><ArticleId IdType="pubmed">14730271</ArticleId></ArticleIdList></Reference><Reference><Citation>Am Psychol. 2004 Feb-Mar;59(2):93-104</Citation><ArticleIdList><ArticleId IdType="pubmed">14992636</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Epidemiol. 2004 Apr 1;159(7):702-6</Citation><ArticleIdList><ArticleId IdType="pubmed">15033648</ArticleId></ArticleIdList></Reference><Reference><Citation>Br J Gen Pract. 2004 Sep;54(506):684-9</Citation><ArticleIdList><ArticleId IdType="pubmed">15353055</ArticleId></ArticleIdList></Reference><Reference><Citation>Br J Prev Soc Med. 1977 Jun;31(2):101-8</Citation><ArticleIdList><ArticleId IdType="pubmed">884394</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Public Health. 1997 Dec;87(12):1944-50</Citation><ArticleIdList><ArticleId IdType="pubmed">9431281</ArticleId></ArticleIdList></Reference><Reference><Citation>Arch Intern Med. 2004 Nov 8;164(20):2206-16</Citation><ArticleIdList><ArticleId IdType="pubmed">15534156</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Public Health. 2006;6:242</Citation><ArticleIdList><ArticleId IdType="pubmed">17018161</ArticleId></ArticleIdList></Reference><Reference><Citation>AMIA Annu Symp Proc. 2006;:244-8</Citation><ArticleIdList><ArticleId IdType="pubmed">17238340</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2007 Jul;12(7):E5-6</Citation><ArticleIdList><ArticleId IdType="pubmed">17991409</ArticleId></ArticleIdList></Reference><Reference><Citation>Eur Respir J. 2007 Dec;30(6):1158-66</Citation><ArticleIdList><ArticleId IdType="pubmed">17715167</ArticleId></ArticleIdList></Reference><Reference><Citation>Pediatrics. 2008 Jan;121(1):1-8</Citation><ArticleIdList><ArticleId IdType="pubmed">18166550</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Public Health. 2007;7:339</Citation><ArticleIdList><ArticleId IdType="pubmed">18036207</ArticleId></ArticleIdList></Reference><Reference><Citation>Clin Infect Dis. 2008 Dec 1;47(11):1443-8</Citation><ArticleIdList><ArticleId IdType="pubmed">18954267</ArticleId></ArticleIdList></Reference><Reference><Citation>Int J Public Health. 2008;53(3):165-7</Citation><ArticleIdList><ArticleId IdType="pubmed">19127890</ArticleId></ArticleIdList></Reference><Reference><Citation>Nature. 2009 Feb 19;457(7232):1012-4</Citation><ArticleIdList><ArticleId IdType="pubmed">19020500</ArticleId></ArticleIdList></Reference><Reference><Citation>N Engl J Med. 2009 May 21;360(21):2153-5, 2157</Citation><ArticleIdList><ArticleId IdType="pubmed">19423867</ArticleId></ArticleIdList></Reference><Reference><Citation>Vaccine. 2009 Oct 23;27(45):6353-7</Citation><ArticleIdList><ArticleId IdType="pubmed">19840672</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Fam Pract. 2010;11:24</Citation><ArticleIdList><ArticleId IdType="pubmed">20307266</ArticleId></ArticleIdList></Reference><Reference><Citation>Euro Surveill. 2010;15(29). pii: 19621</Citation><ArticleIdList><ArticleId IdType="pubmed">20667303</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Public Health. 2010;10:650</Citation><ArticleIdList><ArticleId IdType="pubmed">20979640</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect. 2011 Oct;63(4):267-73</Citation><ArticleIdList><ArticleId IdType="pubmed">21601925</ArticleId></ArticleIdList></Reference><Reference><Citation>Bull World Health Organ. 2012 Jan 1;90(1):12-9</Citation><ArticleIdList><ArticleId IdType="pubmed">22271960</ArticleId></ArticleIdList></Reference><Reference><Citation>Occup Med (Lond). 2002 Aug;52(5):281-92</Citation><ArticleIdList><ArticleId IdType="pubmed">12181378</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Belgique</li></country></list><tree><noCountry><name sortKey="Faes, Christel" sort="Faes, Christel" uniqKey="Faes C" first="Christel" last="Faes">Christel Faes</name><name sortKey="Hens, Niel" sort="Hens, Niel" uniqKey="Hens N" first="Niel" last="Hens">Niel Hens</name></noCountry><country name="Belgique"><noRegion><name sortKey="Vandendijck, Yannick" sort="Vandendijck, Yannick" uniqKey="Vandendijck Y" first="Yannick" last="Vandendijck">Yannick Vandendijck</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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