Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).
Identifieur interne : 000034 ( Main/Exploration ); précédent : 000033; suivant : 000035Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).
Auteurs : F. Walter [Allemagne] ; J J Ott [Allemagne] ; H. Claus [Allemagne] ; G. Krause [Allemagne]Source :
- Epidemiology and infection [ 1469-4409 ] ; 2018.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne (épidémiologie), Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Femelle, Humains, Incidence, Jeune adulte, Maladies transmissibles (microbiologie), Maladies transmissibles (parasitologie), Maladies transmissibles (virologie), Maladies transmissibles (épidémiologie), Mâle, Nourrisson, Nouveau-né, Sujet âgé, Sujet âgé de 80 ans ou plus.
- MESH :
- microbiologie : Maladies transmissibles.
- parasitologie : Maladies transmissibles.
- virologie : Maladies transmissibles.
- épidémiologie : Allemagne, Maladies transmissibles.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Femelle, Humains, Incidence, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Communicable Diseases (epidemiology), Communicable Diseases (microbiology), Communicable Diseases (parasitology), Communicable Diseases (virology), Female, Germany (epidemiology), Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Risk Factors, Sex Factors, Young Adult.
- MESH :
- epidemiology : Communicable Diseases, Germany.
- microbiology : Communicable Diseases.
- parasitology : Communicable Diseases.
- virology : Communicable Diseases.
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Incidence, Infant, Infant, Newborn, Male, Middle Aged, Risk Factors, Sex Factors, Young Adult.
Abstract
Sex differences in the incidence of infections may indicate different risk factors and behaviour but have not been analysed across pathogens. Based on 3.96 million records of 33 pathogens in Germany, notified from 2001 to 2013, we applied Poisson regression to generate age-standardised incidence rate ratios and assessed their distribution across age and sex. The following trends became apparent: (a) pathogens with male incidence preponderance at infant and child age (meningococcal disease (incidence rate ratio (IRR) = 1.19, 95% CI 1.03-1.38, age = 0-4); influenza (IRR = 1.09, 95% CI 1.06-1.13, age = 0-4)), (b) pathogens with sex-switch in incidence preponderance at puberty (e.g. norovirus (IRR = 1.10, 95% CI 1.02-1.19 in age = 5-14, IRR = 0.96, 95% CI 0.93-0.99, age ⩾ 60), (c) pathogens with general male incidence preponderance (bacterial/parasitic infections with campylobacter, Yersinia and Giardia), (d) pathogens with male incidence preponderance at juvenile and adult age (sexually transmitted or vector-borne infections (combined-IRR = 2.53, 95% CI 2.36-2.71, age = 15-59), (e) pathogens with male preponderance at older age (tick-borne encephalitis - IRR = 2.75, 95% CI 1.21-6.24, listeriosis - IRR = 2.06, 95% CI 1.38-3.06, age ⩾ 60). Risk factor concepts only partly serve to interpret similarities of grouped infections, i.e. transmission-related explanations and sex-specific exposures not consistently explain the pattern of food-borne infections (b). Sex-specific differences in infectious disease incidence are well acknowledged regarding the sexually transmitted diseases. This has led to designing gender-specific prevention strategies. Our data suggest that for infections with other transmission routes, gender-specific approaches can also be of benefit and importance.
DOI: 10.1017/S0950268817002771
PubMed: 29357958
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).</title><author><name sortKey="Walter, F" sort="Walter, F" uniqKey="Walter F" first="F" last="Walter">F. Walter</name><affiliation wicri:level="3"><nlm:affiliation>Institute of Medical Biostatistics, Epidemiology and Informatics,University Mainz,Mainz,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Medical Biostatistics, Epidemiology and Informatics,University Mainz,Mainz</wicri:regionArea><placeName><region type="land" nuts="2">Rhénanie-Palatinat</region><settlement type="city">Mayence</settlement></placeName></affiliation></author><author><name sortKey="Ott, J J" sort="Ott, J J" uniqKey="Ott J" first="J J" last="Ott">J J Ott</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig</wicri:regionArea><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion></affiliation></author><author><name sortKey="Claus, H" sort="Claus, H" uniqKey="Claus H" first="H" last="Claus">H. Claus</name><affiliation wicri:level="3"><nlm:affiliation>Robert Koch- Institute,Berlin,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Robert Koch- Institute,Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Krause, G" sort="Krause, G" uniqKey="Krause G" first="G" last="Krause">G. Krause</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig</wicri:regionArea><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2018">2018</date><idno type="RBID">pubmed:29357958</idno><idno type="pmid">29357958</idno><idno type="doi">10.1017/S0950268817002771</idno><idno type="wicri:Area/Main/Corpus">000036</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000036</idno><idno type="wicri:Area/Main/Curation">000036</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000036</idno><idno type="wicri:Area/Main/Exploration">000036</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).</title><author><name sortKey="Walter, F" sort="Walter, F" uniqKey="Walter F" first="F" last="Walter">F. Walter</name><affiliation wicri:level="3"><nlm:affiliation>Institute of Medical Biostatistics, Epidemiology and Informatics,University Mainz,Mainz,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Institute of Medical Biostatistics, Epidemiology and Informatics,University Mainz,Mainz</wicri:regionArea><placeName><region type="land" nuts="2">Rhénanie-Palatinat</region><settlement type="city">Mayence</settlement></placeName></affiliation></author><author><name sortKey="Ott, J J" sort="Ott, J J" uniqKey="Ott J" first="J J" last="Ott">J J Ott</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig</wicri:regionArea><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion></affiliation></author><author><name sortKey="Claus, H" sort="Claus, H" uniqKey="Claus H" first="H" last="Claus">H. Claus</name><affiliation wicri:level="3"><nlm:affiliation>Robert Koch- Institute,Berlin,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Robert Koch- Institute,Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Krause, G" sort="Krause, G" uniqKey="Krause G" first="G" last="Krause">G. Krause</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig</wicri:regionArea><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion><wicri:noRegion>Braunschweig</wicri:noRegion></affiliation></author></analytic><series><title level="j">Epidemiology and infection</title><idno type="eISSN">1469-4409</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Child</term><term>Child, Preschool</term><term>Communicable Diseases (epidemiology)</term><term>Communicable Diseases (microbiology)</term><term>Communicable Diseases (parasitology)</term><term>Communicable Diseases (virology)</term><term>Female</term><term>Germany (epidemiology)</term><term>Humans</term><term>Incidence</term><term>Infant</term><term>Infant, Newborn</term><term>Male</term><term>Middle Aged</term><term>Risk Factors</term><term>Sex Factors</term><term>Young Adult</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 l'âge</term><term>Facteurs de risque</term><term>Facteurs sexuels</term><term>Femelle</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Maladies transmissibles (microbiologie)</term><term>Maladies transmissibles (parasitologie)</term><term>Maladies transmissibles (virologie)</term><term>Maladies transmissibles (épidémiologie)</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Communicable Diseases</term><term>Germany</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies transmissibles</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Communicable Diseases</term></keywords><keywords scheme="MESH" qualifier="parasitologie" xml:lang="fr"><term>Maladies transmissibles</term></keywords><keywords scheme="MESH" qualifier="parasitology" xml:lang="en"><term>Communicable Diseases</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Maladies transmissibles</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Communicable Diseases</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Maladies transmissibles</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</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>Risk Factors</term><term>Sex Factors</term><term>Young Adult</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 l'âge</term><term>Facteurs de risque</term><term>Facteurs sexuels</term><term>Femelle</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Mâle</term><term>Nourrisson</term><term>Nouveau-né</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Sex differences in the incidence of infections may indicate different risk factors and behaviour but have not been analysed across pathogens. Based on 3.96 million records of 33 pathogens in Germany, notified from 2001 to 2013, we applied Poisson regression to generate age-standardised incidence rate ratios and assessed their distribution across age and sex. The following trends became apparent: (a) pathogens with male incidence preponderance at infant and child age (meningococcal disease (incidence rate ratio (IRR) = 1.19, 95% CI 1.03-1.38, age = 0-4); influenza (IRR = 1.09, 95% CI 1.06-1.13, age = 0-4)), (b) pathogens with sex-switch in incidence preponderance at puberty (e.g. norovirus (IRR = 1.10, 95% CI 1.02-1.19 in age = 5-14, IRR = 0.96, 95% CI 0.93-0.99, age ⩾ 60), (c) pathogens with general male incidence preponderance (bacterial/parasitic infections with campylobacter, Yersinia and Giardia), (d) pathogens with male incidence preponderance at juvenile and adult age (sexually transmitted or vector-borne infections (combined-IRR = 2.53, 95% CI 2.36-2.71, age = 15-59), (e) pathogens with male preponderance at older age (tick-borne encephalitis - IRR = 2.75, 95% CI 1.21-6.24, listeriosis - IRR = 2.06, 95% CI 1.38-3.06, age ⩾ 60). Risk factor concepts only partly serve to interpret similarities of grouped infections, i.e. transmission-related explanations and sex-specific exposures not consistently explain the pattern of food-borne infections (b). Sex-specific differences in infectious disease incidence are well acknowledged regarding the sexually transmitted diseases. This has led to designing gender-specific prevention strategies. Our data suggest that for infections with other transmission routes, gender-specific approaches can also be of benefit and importance.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29357958</PMID><DateCompleted><Year>2018</Year><Month>11</Month><Day>01</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>01</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1469-4409</ISSN><JournalIssue CitedMedium="Internet"><Volume>146</Volume><Issue>3</Issue><PubDate><Year>2018</Year><Month>02</Month></PubDate></JournalIssue><Title>Epidemiology and infection</Title><ISOAbbreviation>Epidemiol. Infect.</ISOAbbreviation></Journal><ArticleTitle>Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).</ArticleTitle><Pagination><MedlinePgn>372-378</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1017/S0950268817002771</ELocationID><Abstract><AbstractText>Sex differences in the incidence of infections may indicate different risk factors and behaviour but have not been analysed across pathogens. Based on 3.96 million records of 33 pathogens in Germany, notified from 2001 to 2013, we applied Poisson regression to generate age-standardised incidence rate ratios and assessed their distribution across age and sex. The following trends became apparent: (a) pathogens with male incidence preponderance at infant and child age (meningococcal disease (incidence rate ratio (IRR) = 1.19, 95% CI 1.03-1.38, age = 0-4); influenza (IRR = 1.09, 95% CI 1.06-1.13, age = 0-4)), (b) pathogens with sex-switch in incidence preponderance at puberty (e.g. norovirus (IRR = 1.10, 95% CI 1.02-1.19 in age = 5-14, IRR = 0.96, 95% CI 0.93-0.99, age ⩾ 60), (c) pathogens with general male incidence preponderance (bacterial/parasitic infections with campylobacter, Yersinia and Giardia), (d) pathogens with male incidence preponderance at juvenile and adult age (sexually transmitted or vector-borne infections (combined-IRR = 2.53, 95% CI 2.36-2.71, age = 15-59), (e) pathogens with male preponderance at older age (tick-borne encephalitis - IRR = 2.75, 95% CI 1.21-6.24, listeriosis - IRR = 2.06, 95% CI 1.38-3.06, age ⩾ 60). Risk factor concepts only partly serve to interpret similarities of grouped infections, i.e. transmission-related explanations and sex-specific exposures not consistently explain the pattern of food-borne infections (b). Sex-specific differences in infectious disease incidence are well acknowledged regarding the sexually transmitted diseases. This has led to designing gender-specific prevention strategies. Our data suggest that for infections with other transmission routes, gender-specific approaches can also be of benefit and importance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Walter</LastName><ForeName>F</ForeName><Initials>F</Initials><Identifier Source="ORCID">0000-0002-1877-2792</Identifier><AffiliationInfo><Affiliation>Institute of Medical Biostatistics, Epidemiology and Informatics,University Mainz,Mainz,Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ott</LastName><ForeName>J J</ForeName><Initials>JJ</Initials><AffiliationInfo><Affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Claus</LastName><ForeName>H</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Robert Koch- Institute,Berlin,Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Krause</LastName><ForeName>G</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Department of Epidemiology,Helmholtz Centre for Infection Research,Braunschweig,Germany.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>01</Month><Day>23</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Epidemiol Infect</MedlineTA><NlmUniqueID>8703737</NlmUniqueID><ISSNLinking>0950-2688</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</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="D003141" MajorTopicYN="N">Communicable Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName><QualifierName UI="Q000469" MajorTopicYN="N">parasitology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N">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="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Age</Keyword><Keyword MajorTopicYN="Y">infectious disease epidemiology</Keyword><Keyword MajorTopicYN="Y">sex-differences</Keyword><Keyword MajorTopicYN="Y">surveillance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>1</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2018</Year><Month>11</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>1</Month><Day>24</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29357958</ArticleId><ArticleId IdType="pii">S0950268817002771</ArticleId><ArticleId IdType="doi">10.1017/S0950268817002771</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Berlin</li><li>Rhénanie-Palatinat</li></region><settlement><li>Berlin</li><li>Mayence</li></settlement></list><tree><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Walter, F" sort="Walter, F" uniqKey="Walter F" first="F" last="Walter">F. Walter</name></region><name sortKey="Claus, H" sort="Claus, H" uniqKey="Claus H" first="H" last="Claus">H. Claus</name><name sortKey="Krause, G" sort="Krause, G" uniqKey="Krause G" first="G" last="Krause">G. Krause</name><name sortKey="Ott, J J" sort="Ott, J J" uniqKey="Ott J" first="J J" last="Ott">J J Ott</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/GrippeAllemagneV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000034 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000034 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= GrippeAllemagneV3
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:29357958
|texte= Sex- and age patterns in incidence of infectious diseases in Germany: analyses of surveillance records over a 13-year period (2001-2013).
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:29357958" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a GrippeAllemagneV3
| This area was generated with Dilib version V0.6.35. |  |