[Relevance of sentinel surveillance systems for the implementation and evaluation of vaccination strategies].
Identifieur interne : 000524 ( Main/Exploration ); précédent : 000523; suivant : 000525[Relevance of sentinel surveillance systems for the implementation and evaluation of vaccination strategies].
Auteurs : A. Siedler [Allemagne] ; K. LeitmeyerSource :
- Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [ 1436-9990 ] ; 2004.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Allemagne (épidémiologie), Contrôle des maladies transmissibles (tendances), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (épidémiologie), Humains (MeSH), Infections à Haemophilus (prévention et contrôle), Infections à Haemophilus (épidémiologie), Infections à pneumocoques (prévention et contrôle), Infections à pneumocoques (épidémiologie), Mise en oeuvre des programmes de santé (tendances), Nourrisson (MeSH), Rougeole (prévention et contrôle), Rougeole (épidémiologie), Surveillance sentinelle (MeSH), VIH (Virus de l'Immunodéficience Humaine) (MeSH), Vaccination (tendances), Vaccins anti-Haemophilus (administration et posologie), Vaccins antigrippaux (administration et posologie), Vaccins antipneumococciques (administration et posologie), Études transversales (MeSH).
- MESH :
- administration et posologie : Vaccins anti-Haemophilus, Vaccins antigrippaux, Vaccins antipneumococciques.
- prévention et contrôle : Grippe humaine, Infections à Haemophilus, Infections à pneumocoques, Rougeole.
- tendances : Contrôle des maladies transmissibles, Mise en oeuvre des programmes de santé, Vaccination.
- épidémiologie : Allemagne, Grippe humaine, Infections à Haemophilus, Infections à pneumocoques, Rougeole.
- Adulte, Enfant, Enfant d'âge préscolaire, Humains, Nourrisson, Surveillance sentinelle, VIH (Virus de l'Immunodéficience Humaine), Études transversales.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adult (MeSH), Child (MeSH), Child, Preschool (MeSH), Communicable Disease Control (trends), Cross-Sectional Studies (MeSH), Germany (epidemiology), HIV (MeSH), Haemophilus Infections (epidemiology), Haemophilus Infections (prevention & control), Haemophilus Vaccines (administration & dosage), Health Plan Implementation (trends), Humans (MeSH), Infant (MeSH), Influenza Vaccines (administration & dosage), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Measles (epidemiology), Measles (prevention & control), Pneumococcal Infections (epidemiology), Pneumococcal Infections (prevention & control), Pneumococcal Vaccines (administration & dosage), Sentinel Surveillance (MeSH), Vaccination (trends).
- MESH :
- chemical , administration & dosage : Haemophilus Vaccines, Influenza Vaccines, Pneumococcal Vaccines.
- geographic , epidemiology : Germany.
- epidemiology : Haemophilus Infections, Influenza, Human, Measles, Pneumococcal Infections.
- prevention & control : Haemophilus Infections, Influenza, Human, Measles, Pneumococcal Infections.
- trends : Communicable Disease Control, Health Plan Implementation, Vaccination.
- Adult, Child, Child, Preschool, Cross-Sectional Studies, HIV, Humans, Infant, Sentinel Surveillance.
Abstract
In sentinel surveillance a prearranged sample of reporting sources-often healthcare providers-agrees to report all cases of defined conditions. The German "Protection Against Infection Act" (IfSG) provides a mandate to the Robert Koch-Institute (RKI) to establish sentinel surveillance of not notifiable diseases relevant to public health. Sentinel systems with RKI involvement include two networks of private practitioners reporting cases of influenza and measles (within the Working Groups on Influenza and Measles, respectively). In addition a laboratory-based sentinel system reports cases of certain bacterial infections in children. Results from these systems serve as a basis for framing vaccination recommendations and goals as well as for the evaluation, adjustment and promotion of vaccination strategies. The data indicate time trends (e. g. number of cases by season, age and region) and supply specific information (e. g. for determination of risk factors, distribution of pathogens). Methodological problems of sentinel surveys (e. g. selection of appropriate samples, population-based estimates) can be accounted for with appropriate methods of analysis. More effective implementation of sentinel surveillance in Germany could be achieved through better coordination of existing structures. This would make more effective use of limited resources and better enable timely and flexible investigation of conceptual and organisational questions.
DOI: 10.1007/s00103-004-0947-8
PubMed: 15583884
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Siedler</name><affiliation wicri:level="3"><nlm:affiliation>Robert Koch-Institut, Berlin. siedlera@rki.de</nlm:affiliation><country>Allemagne</country><placeName><settlement type="city">Berlin</settlement><region type="land" nuts="2">Berlin</region></placeName><wicri:orgArea>Robert Koch-Institut</wicri:orgArea></affiliation></author><author><name sortKey="Leitmeyer, K" sort="Leitmeyer, K" uniqKey="Leitmeyer K" first="K" last="Leitmeyer">K. 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(tendances)</term><term>Nourrisson (MeSH)</term><term>Rougeole (prévention et contrôle)</term><term>Rougeole (épidémiologie)</term><term>Surveillance sentinelle (MeSH)</term><term>VIH (Virus de l'Immunodéficience Humaine) (MeSH)</term><term>Vaccination (tendances)</term><term>Vaccins anti-Haemophilus (administration et posologie)</term><term>Vaccins antigrippaux (administration et posologie)</term><term>Vaccins antipneumococciques (administration et posologie)</term><term>Études transversales (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Haemophilus Vaccines</term><term>Influenza Vaccines</term><term>Pneumococcal Vaccines</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Vaccins anti-Haemophilus</term><term>Vaccins antigrippaux</term><term>Vaccins antipneumococciques</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Haemophilus Infections</term><term>Influenza, Human</term><term>Measles</term><term>Pneumococcal Infections</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Haemophilus Infections</term><term>Influenza, Human</term><term>Measles</term><term>Pneumococcal Infections</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term><term>Infections à Haemophilus</term><term>Infections à pneumocoques</term><term>Rougeole</term></keywords><keywords scheme="MESH" qualifier="tendances" xml:lang="fr"><term>Contrôle des maladies transmissibles</term><term>Mise en oeuvre des programmes de santé</term><term>Vaccination</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Communicable Disease Control</term><term>Health Plan 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prearranged sample of reporting sources-often healthcare providers-agrees to report all cases of defined conditions. The German "Protection Against Infection Act" (IfSG) provides a mandate to the Robert Koch-Institute (RKI) to establish sentinel surveillance of not notifiable diseases relevant to public health. Sentinel systems with RKI involvement include two networks of private practitioners reporting cases of influenza and measles (within the Working Groups on Influenza and Measles, respectively). In addition a laboratory-based sentinel system reports cases of certain bacterial infections in children. Results from these systems serve as a basis for framing vaccination recommendations and goals as well as for the evaluation, adjustment and promotion of vaccination strategies. The data indicate time trends (e. g. number of cases by season, age and region) and supply specific information (e. g. for determination of risk factors, distribution of pathogens). Methodological problems of sentinel surveys (e. g. selection of appropriate samples, population-based estimates) can be accounted for with appropriate methods of analysis. More effective implementation of sentinel surveillance in Germany could be achieved through better coordination of existing structures. This would make more effective use of limited resources and better enable timely and flexible investigation of conceptual and organisational questions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">15583884</PMID><DateCompleted><Year>2005</Year><Month>04</Month><Day>22</Day></DateCompleted><DateRevised><Year>2016</Year><Month>07</Month><Day>07</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1436-9990</ISSN><JournalIssue CitedMedium="Print"><Volume>47</Volume><Issue>12</Issue><PubDate><Year>2004</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz</Title><ISOAbbreviation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</ISOAbbreviation></Journal><ArticleTitle>[Relevance of sentinel surveillance systems for the implementation and evaluation of vaccination strategies].</ArticleTitle><Pagination><MedlinePgn>1136-43</MedlinePgn></Pagination><Abstract><AbstractText>In sentinel surveillance a prearranged sample of reporting sources-often healthcare providers-agrees to report all cases of defined conditions. The German "Protection Against Infection Act" (IfSG) provides a mandate to the Robert Koch-Institute (RKI) to establish sentinel surveillance of not notifiable diseases relevant to public health. Sentinel systems with RKI involvement include two networks of private practitioners reporting cases of influenza and measles (within the Working Groups on Influenza and Measles, respectively). In addition a laboratory-based sentinel system reports cases of certain bacterial infections in children. Results from these systems serve as a basis for framing vaccination recommendations and goals as well as for the evaluation, adjustment and promotion of vaccination strategies. The data indicate time trends (e. g. number of cases by season, age and region) and supply specific information (e. g. for determination of risk factors, distribution of pathogens). Methodological problems of sentinel surveys (e. g. selection of appropriate samples, population-based estimates) can be accounted for with appropriate methods of analysis. More effective implementation of sentinel surveillance in Germany could be achieved through better coordination of existing structures. This would make more effective use of limited resources and better enable timely and flexible investigation of conceptual and organisational questions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Siedler</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Robert Koch-Institut, Berlin. siedlera@rki.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Leitmeyer</LastName><ForeName>K</ForeName><Initials>K</Initials></Author></AuthorList><Language>ger</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Die Bedeutung von Sentinels für die Implementierung und Evaluation von Impfstrategien.</VernacularTitle></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</MedlineTA><NlmUniqueID>101181368</NlmUniqueID><ISSNLinking>1436-9990</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D018073">Haemophilus Vaccines</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D022242">Pneumococcal Vaccines</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003140" MajorTopicYN="N">Communicable Disease Control</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006678" MajorTopicYN="N">HIV</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006192" MajorTopicYN="N">Haemophilus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018073" MajorTopicYN="N">Haemophilus Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006284" MajorTopicYN="N">Health Plan Implementation</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008457" MajorTopicYN="N">Measles</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011008" MajorTopicYN="N">Pneumococcal Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D022242" MajorTopicYN="N">Pneumococcal Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018571" MajorTopicYN="Y">Sentinel Surveillance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName><QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2004</Year><Month>12</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2005</Year><Month>4</Month><Day>23</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2004</Year><Month>12</Month><Day>8</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">15583884</ArticleId><ArticleId IdType="doi">10.1007/s00103-004-0947-8</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Berlin</li></region><settlement><li>Berlin</li></settlement></list><tree><noCountry><name sortKey="Leitmeyer, K" sort="Leitmeyer, K" uniqKey="Leitmeyer K" first="K" last="Leitmeyer">K. Leitmeyer</name></noCountry><country name="Allemagne"><region name="Berlin"><name sortKey="Siedler, A" sort="Siedler, A" uniqKey="Siedler A" first="A" last="Siedler">A. Siedler</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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