[Estimation of influenza vaccine effectiveness using routine surveillance data].
Identifieur interne : 000471 ( Main/Exploration ); précédent : 000470; suivant : 000472[Estimation of influenza vaccine effectiveness using routine surveillance data].
Auteurs : H. Uphoff [Allemagne] ; A M Hauri ; B. Schweiger ; R. Heckler ; W. Haas ; A. Grüber ; U. BuchholzSource :
- Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [ 1436-9990 ] ; 2006.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne (épidémiologie), Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Humains, Incidence, Mâle, Nourrisson, Nouveau-né, Reproductibilité des résultats, Répartition par sexe, Répartition par âge, Résultat thérapeutique, Sensibilité et spécificité, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population (), Vaccins antigrippaux (usage thérapeutique), Évaluation des risques ().
- MESH :
- usage thérapeutique : Vaccins antigrippaux.
- épidémiologie : Allemagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Grippe humaine, Humains, Incidence, Mâle, Nourrisson, Nouveau-né, Reproductibilité des résultats, Répartition par sexe, Répartition par âge, Résultat thérapeutique, Sensibilité et spécificité, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population, Évaluation des risques.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Germany (epidemiology), Humans, Incidence, Infant, Infant, Newborn, Influenza Vaccines (therapeutic use), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Male, Middle Aged, Outcome Assessment, Health Care (methods), Population Surveillance (methods), Reproducibility of Results, Risk Assessment (methods), Risk Factors, Sensitivity and Specificity, Sex Distribution, Treatment Outcome.
- MESH :
- chemical , therapeutic use : Influenza Vaccines.
- geographic , epidemiology : Germany.
- epidemiology : Influenza, Human.
- methods : Outcome Assessment, Health Care, Population Surveillance, Risk Assessment.
- prevention & control : Influenza, Human.
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Reproducibility of Results, Risk Factors, Sensitivity and Specificity, Sex Distribution, Treatment Outcome.
Abstract
The continuous antigenic drift of influenza viruses requires annual adaptation of the vaccine. Protection depends largely on the match of the variants represented in the vaccine with the viruses actually known to be in circulation and may differ considerably from season to season. Therefore studies to assess the efficacy and effectiveness of the vaccine are conducted rather sporadically on an annual basis and it would be desirable to make use of routinely available data from surveillance programs. We compared two different approaches: (1) the "screening method" where cases are identified from laboratory data and controls are taken from data on vaccination rates and (2) a second method that uses the same cases, but controls were influenza-negative individuals with influenza-like illness (also identified from laboratory data). The sensitivity of the methods to confounders that were considered as relevant was tested with a simulation. Both methods were applied to the data of the German influenza surveillance data of the season 2004/2005. The estimated effectiveness over all age groups was rather low with both methods, but comparable with other estimations from the literature. We observed differences in certain age groups between the methods as well as large differences between particular age groups within one method. Possible explanations are random variations due to low numbers in age strata and other influences not yet considered. Therefore the estimations should be interpreted with care; however, relative comparisons among seasons may still be meaningful.
DOI: 10.1007/s00103-006-1233-8
PubMed: 16465515
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Buchholz</name></author></analytic><series><title level="j">Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</title><idno type="ISSN">1436-9990</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Germany (epidemiology)</term><term>Humans</term><term>Incidence</term><term>Infant</term><term>Infant, Newborn</term><term>Influenza Vaccines (therapeutic use)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (prevention & control)</term><term>Male</term><term>Middle Aged</term><term>Outcome Assessment, Health Care (methods)</term><term>Population Surveillance (methods)</term><term>Reproducibility of Results</term><term>Risk Assessment (methods)</term><term>Risk Factors</term><term>Sensitivity and Specificity</term><term>Sex Distribution</term><term>Treatment Outcome</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Allemagne (épidémiologie)</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Grippe humaine ()</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Incidence</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Reproductibilité des résultats</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>Résultat thérapeutique</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Surveillance de la population ()</term><term>Vaccins antigrippaux (usage thérapeutique)</term><term>Évaluation des risques ()</term></keywords><keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Influenza Vaccines</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Outcome Assessment, Health Care</term><term>Population Surveillance</term><term>Risk Assessment</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Vaccins antigrippaux</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Incidence</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Reproducibility of Results</term><term>Risk Factors</term><term>Sensitivity and Specificity</term><term>Sex Distribution</term><term>Treatment Outcome</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Facteurs de risque</term><term>Femelle</term><term>Grippe humaine</term><term>Humains</term><term>Incidence</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Reproductibilité des résultats</term><term>Répartition par sexe</term><term>Répartition par âge</term><term>Résultat thérapeutique</term><term>Sensibilité et spécificité</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Surveillance de la population</term><term>Évaluation des risques</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The continuous antigenic drift of influenza viruses requires annual adaptation of the vaccine. Protection depends largely on the match of the variants represented in the vaccine with the viruses actually known to be in circulation and may differ considerably from season to season. Therefore studies to assess the efficacy and effectiveness of the vaccine are conducted rather sporadically on an annual basis and it would be desirable to make use of routinely available data from surveillance programs. We compared two different approaches: (1) the "screening method" where cases are identified from laboratory data and controls are taken from data on vaccination rates and (2) a second method that uses the same cases, but controls were influenza-negative individuals with influenza-like illness (also identified from laboratory data). The sensitivity of the methods to confounders that were considered as relevant was tested with a simulation. Both methods were applied to the data of the German influenza surveillance data of the season 2004/2005. The estimated effectiveness over all age groups was rather low with both methods, but comparable with other estimations from the literature. We observed differences in certain age groups between the methods as well as large differences between particular age groups within one method. Possible explanations are random variations due to low numbers in age strata and other influences not yet considered. Therefore the estimations should be interpreted with care; however, relative comparisons among seasons may still be meaningful.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">16465515</PMID><DateCompleted><Year>2006</Year><Month>05</Month><Day>18</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1436-9990</ISSN><JournalIssue CitedMedium="Print"><Volume>49</Volume><Issue>3</Issue><PubDate><Year>2006</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</Title><ISOAbbreviation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</ISOAbbreviation></Journal><ArticleTitle>[Estimation of influenza vaccine effectiveness using routine surveillance data].</ArticleTitle><Pagination><MedlinePgn>287-95</MedlinePgn></Pagination><Abstract><AbstractText>The continuous antigenic drift of influenza viruses requires annual adaptation of the vaccine. Protection depends largely on the match of the variants represented in the vaccine with the viruses actually known to be in circulation and may differ considerably from season to season. Therefore studies to assess the efficacy and effectiveness of the vaccine are conducted rather sporadically on an annual basis and it would be desirable to make use of routinely available data from surveillance programs. We compared two different approaches: (1) the "screening method" where cases are identified from laboratory data and controls are taken from data on vaccination rates and (2) a second method that uses the same cases, but controls were influenza-negative individuals with influenza-like illness (also identified from laboratory data). The sensitivity of the methods to confounders that were considered as relevant was tested with a simulation. Both methods were applied to the data of the German influenza surveillance data of the season 2004/2005. The estimated effectiveness over all age groups was rather low with both methods, but comparable with other estimations from the literature. We observed differences in certain age groups between the methods as well as large differences between particular age groups within one method. Possible explanations are random variations due to low numbers in age strata and other influences not yet considered. Therefore the estimations should be interpreted with care; however, relative comparisons among seasons may still be meaningful.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Uphoff</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>HLPUG, Zentrum für Gesundheitsschutz, Dillenburg. h.uphoff@hlpug.hessen.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hauri</LastName><ForeName>A M</ForeName><Initials>AM</Initials></Author><Author ValidYN="Y"><LastName>Schweiger</LastName><ForeName>B</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Heckler</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>W</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Grüber</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author 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MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017677" MajorTopicYN="N">Age Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></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="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017063" MajorTopicYN="N">Outcome Assessment, Health 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Outcome</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2006</Year><Month>2</Month><Day>9</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2006</Year><Month>5</Month><Day>19</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2006</Year><Month>2</Month><Day>9</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">16465515</ArticleId><ArticleId IdType="doi">10.1007/s00103-006-1233-8</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country></list><tree><noCountry><name sortKey="Buchholz, U" sort="Buchholz, U" uniqKey="Buchholz U" first="U" last="Buchholz">U. Buchholz</name><name sortKey="Gruber, A" sort="Gruber, A" uniqKey="Gruber A" first="A" last="Grüber">A. Grüber</name><name sortKey="Haas, W" sort="Haas, W" uniqKey="Haas W" first="W" last="Haas">W. Haas</name><name sortKey="Hauri, A M" sort="Hauri, A M" uniqKey="Hauri A" first="A M" last="Hauri">A M Hauri</name><name sortKey="Heckler, R" sort="Heckler, R" uniqKey="Heckler R" first="R" last="Heckler">R. Heckler</name><name sortKey="Schweiger, B" sort="Schweiger, B" uniqKey="Schweiger B" first="B" last="Schweiger">B. Schweiger</name></noCountry><country name="Allemagne"><noRegion><name sortKey="Uphoff, H" sort="Uphoff, H" uniqKey="Uphoff H" first="H" last="Uphoff">H. Uphoff</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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