Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010.
Identifieur interne : 002413 ( Main/Merge ); précédent : 002412; suivant : 002414Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010.
Auteurs : A. Hulth [Suède] ; G. RydevikSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- épidémiologie : Grippe humaine, Suède.
- Humains, Internet, Modèles statistiques, Moteur de recherche, Recherche qualitative, Reproductibilité des résultats, Surveillance de la population.
- Wicri :
- geographic : Suède.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Sweden.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- methods : Population Surveillance.
- Humans, Internet, Models, Statistical, Qualitative Research, Reproducibility of Results, Search Engine.
Abstract
At the Swedish Institute for Communicable Disease Control, statistical models based on queries submitted to a Swedish medical website are used as a complement to the regular influenza surveillance. The models have previously been shown to perform well for seasonal influenza. The purpose of the present study was to evaluate the performance of the statistical models in the context of the influenza A(H1N1)2009 pandemic, a period when many factors, for example the media, could have influenced people's search behaviour on the Internet and consequently the performance of the models. Our evaluation indicates consistent good reliability for the statistical models also during the pandemic. When compared to Google Flu Trends for Sweden, they were at least equivalent in terms of estimating the influenza activity, and even seemed to be more precise in estimating the peak incidence of the influenza pandemic.
PubMed: 21586265
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pubmed:21586265Le document en format XML
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Hulth</name><affiliation wicri:level="1"><nlm:affiliation>Swedish Institute for Communicable Disease Control, Solna, Sweden. anette.hulth@smi.se</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Swedish Institute for Communicable Disease Control, Solna</wicri:regionArea><wicri:noRegion>Solna</wicri:noRegion></affiliation></author><author><name sortKey="Rydevik, G" sort="Rydevik, G" uniqKey="Rydevik G" first="G" last="Rydevik">G. Rydevik</name></author></analytic><series><title level="j">Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</title><idno type="eISSN">1560-7917</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Humans</term><term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Internet</term><term>Models, Statistical</term><term>Population Surveillance (methods)</term><term>Qualitative Research</term><term>Reproducibility of Results</term><term>Search Engine</term><term>Sweden (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Internet</term><term>Modèles statistiques</term><term>Moteur de recherche</term><term>Recherche qualitative</term><term>Reproductibilité des résultats</term><term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term><term>Surveillance de la population ()</term><term>Suède (épidémiologie)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Sweden</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Suède</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Internet</term><term>Models, Statistical</term><term>Qualitative Research</term><term>Reproducibility of Results</term><term>Search Engine</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Internet</term><term>Modèles statistiques</term><term>Moteur de recherche</term><term>Recherche qualitative</term><term>Reproductibilité des résultats</term><term>Surveillance de la population</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Suède</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">At the Swedish Institute for Communicable Disease Control, statistical models based on queries submitted to a Swedish medical website are used as a complement to the regular influenza surveillance. The models have previously been shown to perform well for seasonal influenza. The purpose of the present study was to evaluate the performance of the statistical models in the context of the influenza A(H1N1)2009 pandemic, a period when many factors, for example the media, could have influenced people's search behaviour on the Internet and consequently the performance of the models. Our evaluation indicates consistent good reliability for the statistical models also during the pandemic. When compared to Google Flu Trends for Sweden, they were at least equivalent in terms of estimating the influenza activity, and even seemed to be more precise in estimating the peak incidence of the influenza pandemic.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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