Harmonisation of national influenza surveillance morbidity data from EISS: a simple index.
Identifieur interne : 000549 ( Main/Exploration ); précédent : 000548; suivant : 000550Harmonisation of national influenza surveillance morbidity data from EISS: a simple index.
Auteurs : H. Uphoff [Allemagne] ; J-M Cohen ; D. Fleming ; A. NooneSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2003.
Descripteurs français
- KwdFr :
- Agrégat spatio-temporel (MeSH), Allemagne (épidémiologie), Angleterre (épidémiologie), Belgique (épidémiologie), France (épidémiologie), Grippe humaine (épidémiologie), Humains (MeSH), Modèles statistiques (MeSH), Morbidité (tendances), Pays-Bas (épidémiologie), Projets pilotes (MeSH), République tchèque (épidémiologie), Suisse (épidémiologie), Surveillance de la population (méthodes), Virus de la grippe A (classification), Virus de la grippe A (isolement et purification), Épidémies de maladies (statistiques et données numériques).
- MESH :
- isolement et purification : Virus de la grippe A.
- méthodes : Surveillance de la population.
- statistiques et données numériques : Épidémies de maladies.
- tendances : Morbidité.
- épidémiologie : Allemagne, Angleterre, Belgique, France, Grippe humaine, Pays-Bas, République tchèque, Suisse, Virus de la grippe A.
- Agrégat spatio-temporel, Humains, Modèles statistiques, Projets pilotes.
- Wicri :
English descriptors
- KwdEn :
- Belgium (epidemiology), Czech Republic (epidemiology), Disease Outbreaks (statistics & numerical data), England (epidemiology), France (epidemiology), Germany (epidemiology), Humans (MeSH), Influenza A virus (classification), Influenza A virus (isolation & purification), Influenza, Human (epidemiology), Models, Statistical (MeSH), Morbidity (trends), Netherlands (epidemiology), Pilot Projects (MeSH), Population Surveillance (methods), Space-Time Clustering (MeSH), Switzerland (epidemiology).
- MESH :
- geographic , epidemiology : Belgium, Czech Republic, England, France, Germany, Netherlands, Switzerland.
- classification : Influenza A virus.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A virus.
- methods : Population Surveillance.
- statistics & numerical data : Disease Outbreaks.
- trends : Morbidity.
- Humans, Models, Statistical, Pilot Projects, Space-Time Clustering.
Abstract
The European Influenza Surveillance Scheme is a collaboration with 18 member countries (2001/02) which monitors the activity and impact of influenza by collecting morbidity and virological data in primary care facilities throughout the winter season each year. Despite being in principle similar in the surveillance concept, the indicators used and observations made are very different. Different healthcare systems and organisational needs (eg a certificate of illness for the employer) influence the consultation behaviour. Furthermore, and partly as a result of differences in the healthcare systems, the definitions used for the numerator and denominator when calculating morbidity rates are different. Thus comparative interpretation of participating countries' morbidity data is extremely difficult. Reporting 'harmonisation' by using equivalent numerators and denominators is one option but is difficult to achieve in the short term. Moreover, several additional issues would need to be considered, for example, the need for continuity of surveillance and whether such steps would indeed result in direct comparability etc. A simple index was tested, through which the impact of influenza morbidity in any one year is compared with what is considered a 'usual' epidemic in that country. The index in principle describes numerically the extent to which the influenza-attributable excess morbidity in the current epidemic in each country is within, exceeds, or is less than a range typical for an influenza epidemic. In this pilot study, the usefulness of such an index is explored with the example of eight countries for the seasons 1999/2000 and 2000/01. A fine tuning of the methods has not yet been performed.
DOI: 10.2807/esm.08.07.00420-en
PubMed: 12941981
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Noone</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="2003" type="published">2003</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Belgium (epidemiology)</term><term>Czech Republic (epidemiology)</term><term>Disease Outbreaks (statistics & numerical data)</term><term>England (epidemiology)</term><term>France (epidemiology)</term><term>Germany (epidemiology)</term><term>Humans (MeSH)</term><term>Influenza A virus (classification)</term><term>Influenza A virus (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Models, Statistical (MeSH)</term><term>Morbidity (trends)</term><term>Netherlands (epidemiology)</term><term>Pilot Projects (MeSH)</term><term>Population Surveillance (methods)</term><term>Space-Time Clustering (MeSH)</term><term>Switzerland (epidemiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Agrégat spatio-temporel (MeSH)</term><term>Allemagne (épidémiologie)</term><term>Angleterre (épidémiologie)</term><term>Belgique (épidémiologie)</term><term>France (épidémiologie)</term><term>Grippe humaine (épidémiologie)</term><term>Humains (MeSH)</term><term>Modèles statistiques (MeSH)</term><term>Morbidité (tendances)</term><term>Pays-Bas (épidémiologie)</term><term>Projets pilotes (MeSH)</term><term>République tchèque (épidémiologie)</term><term>Suisse (épidémiologie)</term><term>Surveillance de la population (méthodes)</term><term>Virus de la grippe A (classification)</term><term>Virus de la grippe A (isolement et purification)</term><term>Épidémies de maladies (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Belgium</term><term>Czech Republic</term><term>England</term><term>France</term><term>Germany</term><term>Netherlands</term><term>Switzerland</term></keywords><keywords scheme="MESH" qualifier="classification" xml:lang="en"><term>Influenza A virus</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</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Population Surveillance</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Surveillance de la population</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Disease Outbreaks</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Épidémies de maladies</term></keywords><keywords scheme="MESH" qualifier="tendances" xml:lang="fr"><term>Morbidité</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Morbidity</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Angleterre</term><term>Belgique</term><term>France</term><term>Grippe humaine</term><term>Pays-Bas</term><term>République tchèque</term><term>Suisse</term><term>Virus de la grippe A</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Models, Statistical</term><term>Pilot Projects</term><term>Space-Time Clustering</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Agrégat spatio-temporel</term><term>Humains</term><term>Modèles statistiques</term><term>Projets pilotes</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Belgique</term><term>République tchèque</term><term>France</term><term>Allemagne</term><term>Pays-Bas</term><term>Suisse</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The European Influenza Surveillance Scheme is a collaboration with 18 member countries (2001/02) which monitors the activity and impact of influenza by collecting morbidity and virological data in primary care facilities throughout the winter season each year. Despite being in principle similar in the surveillance concept, the indicators used and observations made are very different. Different healthcare systems and organisational needs (eg a certificate of illness for the employer) influence the consultation behaviour. Furthermore, and partly as a result of differences in the healthcare systems, the definitions used for the numerator and denominator when calculating morbidity rates are different. Thus comparative interpretation of participating countries' morbidity data is extremely difficult. Reporting 'harmonisation' by using equivalent numerators and denominators is one option but is difficult to achieve in the short term. Moreover, several additional issues would need to be considered, for example, the need for continuity of surveillance and whether such steps would indeed result in direct comparability etc. A simple index was tested, through which the impact of influenza morbidity in any one year is compared with what is considered a 'usual' epidemic in that country. The index in principle describes numerically the extent to which the influenza-attributable excess morbidity in the current epidemic in each country is within, exceeds, or is less than a range typical for an influenza epidemic. In this pilot study, the usefulness of such an index is explored with the example of eight countries for the seasons 1999/2000 and 2000/01. A fine tuning of the methods has not yet been performed.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">12941981</PMID><DateCompleted><Year>2003</Year><Month>10</Month><Day>06</Day></DateCompleted><DateRevised><Year>2019</Year><Month>06</Month><Day>07</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1560-7917</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>7</Issue><PubDate><Year>2003</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</Title><ISOAbbreviation>Euro Surveill.</ISOAbbreviation></Journal><ArticleTitle>Harmonisation of national influenza surveillance morbidity data from EISS: a simple index.</ArticleTitle><Pagination><MedlinePgn>156-64</MedlinePgn></Pagination><Abstract><AbstractText>The European Influenza Surveillance Scheme is a collaboration with 18 member countries (2001/02) which monitors the activity and impact of influenza by collecting morbidity and virological data in primary care facilities throughout the winter season each year. Despite being in principle similar in the surveillance concept, the indicators used and observations made are very different. Different healthcare systems and organisational needs (eg a certificate of illness for the employer) influence the consultation behaviour. Furthermore, and partly as a result of differences in the healthcare systems, the definitions used for the numerator and denominator when calculating morbidity rates are different. Thus comparative interpretation of participating countries' morbidity data is extremely difficult. Reporting 'harmonisation' by using equivalent numerators and denominators is one option but is difficult to achieve in the short term. Moreover, several additional issues would need to be considered, for example, the need for continuity of surveillance and whether such steps would indeed result in direct comparability etc. A simple index was tested, through which the impact of influenza morbidity in any one year is compared with what is considered a 'usual' epidemic in that country. The index in principle describes numerically the extent to which the influenza-attributable excess morbidity in the current epidemic in each country is within, exceeds, or is less than a range typical for an influenza epidemic. In this pilot study, the usefulness of such an index is explored with the example of eight countries for the seasons 1999/2000 and 2000/01. A fine tuning of the methods has not yet been performed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Uphoff</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Deutsches Gruenes Kreutz, Marburg, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cohen</LastName><ForeName>J-M</ForeName><Initials>JM</Initials></Author><Author ValidYN="Y"><LastName>Fleming</LastName><ForeName>D</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Noone</LastName><ForeName>A</ForeName><Initials>A</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Sweden</Country><MedlineTA>Euro Surveill</MedlineTA><NlmUniqueID>100887452</NlmUniqueID><ISSNLinking>1025-496X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001530" MajorTopicYN="N" Type="Geographic">Belgium</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018153" MajorTopicYN="N" Type="Geographic">Czech Republic</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004739" MajorTopicYN="N" Type="Geographic">England</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009980" MajorTopicYN="N">Influenza A virus</DescriptorName><QualifierName UI="Q000145" MajorTopicYN="N">classification</QualifierName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009017" MajorTopicYN="N">Morbidity</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="N">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D009426" MajorTopicYN="N" Type="Geographic">Netherlands</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D010865" MajorTopicYN="N">Pilot Projects</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013029" MajorTopicYN="N">Space-Time Clustering</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013557" MajorTopicYN="N" Type="Geographic">Switzerland</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2003</Year><Month>8</Month><Day>28</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2003</Year><Month>10</Month><Day>8</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2003</Year><Month>8</Month><Day>28</Day><Hour>5</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">12941981</ArticleId><ArticleId IdType="pii">420</ArticleId><ArticleId IdType="doi">10.2807/esm.08.07.00420-en</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>District de Giessen</li><li>Hesse (Land)</li></region><settlement><li>Marbourg</li></settlement></list><tree><noCountry><name sortKey="Cohen, J M" sort="Cohen, J M" uniqKey="Cohen J" first="J-M" last="Cohen">J-M Cohen</name><name sortKey="Fleming, D" sort="Fleming, D" uniqKey="Fleming D" first="D" last="Fleming">D. Fleming</name><name sortKey="Noone, A" sort="Noone, A" uniqKey="Noone A" first="A" last="Noone">A. Noone</name></noCountry><country name="Allemagne"><region name="Hesse (Land)"><name sortKey="Uphoff, H" sort="Uphoff, H" uniqKey="Uphoff H" first="H" last="Uphoff">H. Uphoff</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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