The epidemiological impact of childhood influenza vaccination using live-attenuated influenza vaccine (LAIV) in Germany: predictions of a simulation study.
Identifieur interne : 000162 ( Main/Exploration ); précédent : 000161; suivant : 000163The epidemiological impact of childhood influenza vaccination using live-attenuated influenza vaccine (LAIV) in Germany: predictions of a simulation study.
Auteurs : Markus A. Rose ; Oliver Damm ; Wolfgang Greiner ; Markus Knuf ; Peter Wutzler ; Johannes G. Liese ; Hagen Krüger ; Ulrich Wahn ; Tom Schaberg ; Markus Schwehm ; Thomas F. Kochmann ; Martin Eichner [Allemagne]Source :
- BMC infectious diseases [ 1471-2334 ] ; 2014.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Allemagne (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Femelle (MeSH), Grippe humaine (prévention et contrôle), Humains (MeSH), Modèles théoriques (MeSH), Mâle (MeSH), Nourrisson (MeSH), Programmes de vaccination (MeSH), Simulation numérique (MeSH), Vaccination (MeSH), Vaccins antigrippaux (administration et posologie), Vaccins atténués (administration et posologie).
- MESH :
- administration et posologie : Vaccins antigrippaux, Vaccins atténués.
- prévention et contrôle : Grippe humaine.
- Adolescent, Allemagne, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Modèles théoriques, Mâle, Nourrisson, Programmes de vaccination, Simulation numérique, Vaccination.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Child (MeSH), Child, Preschool (MeSH), Computer Simulation (MeSH), Female (MeSH), Germany (MeSH), Humans (MeSH), Immunization Programs (MeSH), Infant (MeSH), Influenza Vaccines (administration & dosage), Influenza, Human (prevention & control), Male (MeSH), Models, Theoretical (MeSH), Vaccination (MeSH), Vaccines, Attenuated (administration & dosage).
- MESH :
- chemical , administration & dosage : Influenza Vaccines, Vaccines, Attenuated.
- geographic : Germany.
- prevention & control : Influenza, Human.
- Adolescent, Child, Child, Preschool, Computer Simulation, Female, Humans, Immunization Programs, Infant, Male, Models, Theoretical, Vaccination.
Abstract
BACKGROUND
Routine annual influenza vaccination is primarily recommended for all persons aged 60 and above and for people with underlying chronic conditions in Germany. Other countries have already adopted additional childhood influenza immunisation programmes. The objective of this study is to determine the potential epidemiological impact of implementing paediatric influenza vaccination using intranasally administered live-attenuated influenza vaccine (LAIV) in Germany.
METHODS
A deterministic age-structured model is used to simulate the population-level impact of different vaccination strategies on the transmission dynamics of seasonal influenza in Germany. In our base-case analysis, we estimate the effects of adding a LAIV-based immunisation programme targeting children 2 to 17 years of age to the existing influenza vaccination policy. The data used in the model is based on published evidence complemented by expert opinion.
RESULTS
In our model, additional vaccination of children 2 to 17 years of age with LAIV leads to the prevention of 23.9 million influenza infections and nearly 16 million symptomatic influenza cases within 10 years. This reduction in burden of disease is not restricted to children. About one third of all adult cases can indirectly be prevented by LAIV immunisation of children.
CONCLUSIONS
Our results demonstrate that vaccinating children 2-17 years of age is likely associated with a significant reduction in the burden of paediatric influenza. Furthermore, annual routine childhood vaccination against seasonal influenza is expected to decrease the incidence of influenza among adults and older people due to indirect effects of herd protection. In summary, our model provides data supporting the introduction of a paediatric influenza immunisation programme in Germany.
DOI: 10.1186/1471-2334-14-40
PubMed: 24450996
PubMed Central: PMC3905925
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Rose</name></author><author><name sortKey="Damm, Oliver" sort="Damm, Oliver" uniqKey="Damm O" first="Oliver" last="Damm">Oliver Damm</name></author><author><name sortKey="Greiner, Wolfgang" sort="Greiner, Wolfgang" uniqKey="Greiner W" first="Wolfgang" last="Greiner">Wolfgang Greiner</name></author><author><name sortKey="Knuf, Markus" sort="Knuf, Markus" uniqKey="Knuf M" first="Markus" last="Knuf">Markus Knuf</name></author><author><name sortKey="Wutzler, Peter" sort="Wutzler, Peter" uniqKey="Wutzler P" first="Peter" last="Wutzler">Peter Wutzler</name></author><author><name sortKey="Liese, Johannes G" sort="Liese, Johannes G" uniqKey="Liese J" first="Johannes G" last="Liese">Johannes G. Liese</name></author><author><name sortKey="Kruger, Hagen" sort="Kruger, Hagen" uniqKey="Kruger H" first="Hagen" last="Krüger">Hagen Krüger</name></author><author><name sortKey="Wahn, Ulrich" sort="Wahn, Ulrich" uniqKey="Wahn U" first="Ulrich" last="Wahn">Ulrich Wahn</name></author><author><name sortKey="Schaberg, Tom" sort="Schaberg, Tom" uniqKey="Schaberg T" first="Tom" last="Schaberg">Tom Schaberg</name></author><author><name sortKey="Schwehm, Markus" sort="Schwehm, Markus" uniqKey="Schwehm M" first="Markus" last="Schwehm">Markus Schwehm</name></author><author><name sortKey="Kochmann, Thomas F" sort="Kochmann, Thomas F" uniqKey="Kochmann T" first="Thomas F" last="Kochmann">Thomas F. Kochmann</name></author><author><name sortKey="Eichner, Martin" sort="Eichner, Martin" uniqKey="Eichner M" first="Martin" last="Eichner">Martin Eichner</name><affiliation wicri:level="3"><nlm:affiliation>Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen, Germany. martin.eichner@epimos.com.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen</wicri:regionArea><placeName><region type="land" nuts="1">Bade-Wurtemberg</region><region type="district" nuts="2">District de Tübingen</region><settlement type="city">Tübingen</settlement></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24450996</idno><idno type="pmid">24450996</idno><idno type="doi">10.1186/1471-2334-14-40</idno><idno type="pmc">PMC3905925</idno><idno type="wicri:Area/Main/Corpus">000173</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000173</idno><idno type="wicri:Area/Main/Curation">000173</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000173</idno><idno type="wicri:Area/Main/Exploration">000173</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">The epidemiological impact of childhood influenza vaccination using live-attenuated influenza vaccine (LAIV) in Germany: predictions of a simulation study.</title><author><name sortKey="Rose, Markus A" sort="Rose, Markus A" uniqKey="Rose M" first="Markus A" last="Rose">Markus A. Rose</name></author><author><name sortKey="Damm, Oliver" sort="Damm, Oliver" uniqKey="Damm O" first="Oliver" last="Damm">Oliver Damm</name></author><author><name sortKey="Greiner, Wolfgang" sort="Greiner, Wolfgang" uniqKey="Greiner W" first="Wolfgang" last="Greiner">Wolfgang Greiner</name></author><author><name sortKey="Knuf, Markus" sort="Knuf, Markus" uniqKey="Knuf M" first="Markus" last="Knuf">Markus Knuf</name></author><author><name sortKey="Wutzler, Peter" sort="Wutzler, Peter" uniqKey="Wutzler P" first="Peter" last="Wutzler">Peter Wutzler</name></author><author><name sortKey="Liese, Johannes G" sort="Liese, Johannes G" uniqKey="Liese J" first="Johannes G" last="Liese">Johannes G. Liese</name></author><author><name sortKey="Kruger, Hagen" sort="Kruger, Hagen" uniqKey="Kruger H" first="Hagen" last="Krüger">Hagen Krüger</name></author><author><name sortKey="Wahn, Ulrich" sort="Wahn, Ulrich" uniqKey="Wahn U" first="Ulrich" last="Wahn">Ulrich Wahn</name></author><author><name sortKey="Schaberg, Tom" sort="Schaberg, Tom" uniqKey="Schaberg T" first="Tom" last="Schaberg">Tom Schaberg</name></author><author><name sortKey="Schwehm, Markus" sort="Schwehm, Markus" uniqKey="Schwehm M" first="Markus" last="Schwehm">Markus Schwehm</name></author><author><name sortKey="Kochmann, Thomas F" sort="Kochmann, Thomas F" uniqKey="Kochmann T" first="Thomas F" last="Kochmann">Thomas F. Kochmann</name></author><author><name sortKey="Eichner, Martin" sort="Eichner, Martin" uniqKey="Eichner M" first="Martin" last="Eichner">Martin Eichner</name><affiliation wicri:level="3"><nlm:affiliation>Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen, Germany. martin.eichner@epimos.com.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen</wicri:regionArea><placeName><region type="land" nuts="1">Bade-Wurtemberg</region><region type="district" nuts="2">District de Tübingen</region><settlement type="city">Tübingen</settlement></placeName></affiliation></author></analytic><series><title level="j">BMC infectious diseases</title><idno type="eISSN">1471-2334</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Computer Simulation (MeSH)</term><term>Female (MeSH)</term><term>Germany (MeSH)</term><term>Humans (MeSH)</term><term>Immunization Programs (MeSH)</term><term>Infant (MeSH)</term><term>Influenza Vaccines (administration & dosage)</term><term>Influenza, Human (prevention & control)</term><term>Male (MeSH)</term><term>Models, Theoretical (MeSH)</term><term>Vaccination (MeSH)</term><term>Vaccines, Attenuated (administration & dosage)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term><term>Allemagne (MeSH)</term><term>Enfant (MeSH)</term><term>Enfant d'âge préscolaire (MeSH)</term><term>Femelle (MeSH)</term><term>Grippe humaine (prévention et contrôle)</term><term>Humains (MeSH)</term><term>Modèles théoriques (MeSH)</term><term>Mâle (MeSH)</term><term>Nourrisson (MeSH)</term><term>Programmes de vaccination (MeSH)</term><term>Simulation numérique (MeSH)</term><term>Vaccination (MeSH)</term><term>Vaccins antigrippaux (administration et posologie)</term><term>Vaccins atténués (administration et posologie)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Influenza Vaccines</term><term>Vaccines, Attenuated</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Vaccins antigrippaux</term><term>Vaccins atténués</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Child</term><term>Child, Preschool</term><term>Computer Simulation</term><term>Female</term><term>Humans</term><term>Immunization Programs</term><term>Infant</term><term>Male</term><term>Models, Theoretical</term><term>Vaccination</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term><term>Allemagne</term><term>Enfant</term><term>Enfant d'âge préscolaire</term><term>Femelle</term><term>Humains</term><term>Modèles théoriques</term><term>Mâle</term><term>Nourrisson</term><term>Programmes de vaccination</term><term>Simulation numérique</term><term>Vaccination</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Routine annual influenza vaccination is primarily recommended for all persons aged 60 and above and for people with underlying chronic conditions in Germany. Other countries have already adopted additional childhood influenza immunisation programmes. The objective of this study is to determine the potential epidemiological impact of implementing paediatric influenza vaccination using intranasally administered live-attenuated influenza vaccine (LAIV) in Germany.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>A deterministic age-structured model is used to simulate the population-level impact of different vaccination strategies on the transmission dynamics of seasonal influenza in Germany. In our base-case analysis, we estimate the effects of adding a LAIV-based immunisation programme targeting children 2 to 17 years of age to the existing influenza vaccination policy. The data used in the model is based on published evidence complemented by expert opinion.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>In our model, additional vaccination of children 2 to 17 years of age with LAIV leads to the prevention of 23.9 million influenza infections and nearly 16 million symptomatic influenza cases within 10 years. This reduction in burden of disease is not restricted to children. About one third of all adult cases can indirectly be prevented by LAIV immunisation of children.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>Our results demonstrate that vaccinating children 2-17 years of age is likely associated with a significant reduction in the burden of paediatric influenza. Furthermore, annual routine childhood vaccination against seasonal influenza is expected to decrease the incidence of influenza among adults and older people due to indirect effects of herd protection. In summary, our model provides data supporting the introduction of a paediatric influenza immunisation programme in Germany.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">24450996</PMID><DateCompleted><Year>2014</Year><Month>12</Month><Day>17</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><PubDate><Year>2014</Year><Month>Jan</Month><Day>22</Day></PubDate></JournalIssue><Title>BMC infectious diseases</Title><ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>The epidemiological impact of childhood influenza vaccination using live-attenuated influenza vaccine (LAIV) in Germany: predictions of a simulation study.</ArticleTitle><Pagination><MedlinePgn>40</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2334-14-40</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Routine annual influenza vaccination is primarily recommended for all persons aged 60 and above and for people with underlying chronic conditions in Germany. Other countries have already adopted additional childhood influenza immunisation programmes. The objective of this study is to determine the potential epidemiological impact of implementing paediatric influenza vaccination using intranasally administered live-attenuated influenza vaccine (LAIV) in Germany.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">A deterministic age-structured model is used to simulate the population-level impact of different vaccination strategies on the transmission dynamics of seasonal influenza in Germany. In our base-case analysis, we estimate the effects of adding a LAIV-based immunisation programme targeting children 2 to 17 years of age to the existing influenza vaccination policy. The data used in the model is based on published evidence complemented by expert opinion.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">In our model, additional vaccination of children 2 to 17 years of age with LAIV leads to the prevention of 23.9 million influenza infections and nearly 16 million symptomatic influenza cases within 10 years. This reduction in burden of disease is not restricted to children. About one third of all adult cases can indirectly be prevented by LAIV immunisation of children.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Our results demonstrate that vaccinating children 2-17 years of age is likely associated with a significant reduction in the burden of paediatric influenza. Furthermore, annual routine childhood vaccination against seasonal influenza is expected to decrease the incidence of influenza among adults and older people due to indirect effects of herd protection. In summary, our model provides data supporting the introduction of a paediatric influenza immunisation programme in Germany.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Rose</LastName><ForeName>Markus A</ForeName><Initials>MA</Initials></Author><Author ValidYN="Y"><LastName>Damm</LastName><ForeName>Oliver</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Greiner</LastName><ForeName>Wolfgang</ForeName><Initials>W</Initials></Author><Author ValidYN="Y"><LastName>Knuf</LastName><ForeName>Markus</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Wutzler</LastName><ForeName>Peter</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Liese</LastName><ForeName>Johannes G</ForeName><Initials>JG</Initials></Author><Author ValidYN="Y"><LastName>Krüger</LastName><ForeName>Hagen</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Wahn</LastName><ForeName>Ulrich</ForeName><Initials>U</Initials></Author><Author ValidYN="Y"><LastName>Schaberg</LastName><ForeName>Tom</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Schwehm</LastName><ForeName>Markus</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Kochmann</LastName><ForeName>Thomas F</ForeName><Initials>TF</Initials></Author><Author ValidYN="Y"><LastName>Eichner</LastName><ForeName>Martin</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Clinical Epidemiology and Applied Biometry, University of Tübingen, Tübingen, Germany. martin.eichner@epimos.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D023361">Validation Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>01</Month><Day>22</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Infect Dis</MedlineTA><NlmUniqueID>100968551</NlmUniqueID><ISSNLinking>1471-2334</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014613">Vaccines, Attenuated</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003198" MajorTopicYN="N">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017589" MajorTopicYN="Y">Immunization Programs</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014613" MajorTopicYN="N">Vaccines, Attenuated</DescriptorName><QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>12</Month><Day>18</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2014</Year><Month>01</Month><Day>14</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>1</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>1</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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IdType="pubmed">20546586</ArticleId></ArticleIdList></Reference><Reference><Citation>N Engl J Med. 2000 Jan 27;342(4):232-9</Citation><ArticleIdList><ArticleId IdType="pubmed">10648764</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Bade-Wurtemberg</li><li>District de Tübingen</li></region><settlement><li>Tübingen</li></settlement></list><tree><noCountry><name sortKey="Damm, Oliver" sort="Damm, Oliver" uniqKey="Damm O" first="Oliver" last="Damm">Oliver Damm</name><name sortKey="Greiner, Wolfgang" sort="Greiner, Wolfgang" uniqKey="Greiner W" first="Wolfgang" last="Greiner">Wolfgang Greiner</name><name sortKey="Knuf, Markus" sort="Knuf, Markus" uniqKey="Knuf M" first="Markus" last="Knuf">Markus Knuf</name><name sortKey="Kochmann, Thomas F" sort="Kochmann, Thomas F" uniqKey="Kochmann T" first="Thomas F" last="Kochmann">Thomas F. Kochmann</name><name sortKey="Kruger, Hagen" sort="Kruger, Hagen" uniqKey="Kruger H" first="Hagen" last="Krüger">Hagen Krüger</name><name sortKey="Liese, Johannes G" sort="Liese, Johannes G" uniqKey="Liese J" first="Johannes G" last="Liese">Johannes G. Liese</name><name sortKey="Rose, Markus A" sort="Rose, Markus A" uniqKey="Rose M" first="Markus A" last="Rose">Markus A. Rose</name><name sortKey="Schaberg, Tom" sort="Schaberg, Tom" uniqKey="Schaberg T" first="Tom" last="Schaberg">Tom Schaberg</name><name sortKey="Schwehm, Markus" sort="Schwehm, Markus" uniqKey="Schwehm M" first="Markus" last="Schwehm">Markus Schwehm</name><name sortKey="Wahn, Ulrich" sort="Wahn, Ulrich" uniqKey="Wahn U" first="Ulrich" last="Wahn">Ulrich Wahn</name><name sortKey="Wutzler, Peter" sort="Wutzler, Peter" uniqKey="Wutzler P" first="Peter" last="Wutzler">Peter Wutzler</name></noCountry><country name="Allemagne"><region name="Bade-Wurtemberg"><name sortKey="Eichner, Martin" sort="Eichner, Martin" uniqKey="Eichner M" first="Martin" last="Eichner">Martin Eichner</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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