[Epidemiological characteristics of the influenza pandemic (H1N1) 2009 in Germany based on the mandatory notification of cases].
Identifieur interne : 000325 ( Main/Exploration ); précédent : 000324; suivant : 000326[Epidemiological characteristics of the influenza pandemic (H1N1) 2009 in Germany based on the mandatory notification of cases].
Auteurs : S. Buda [Allemagne] ; K. Köpke ; W. HaasSource :
- Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz [ 1437-1588 ] ; 2010.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne (épidémiologie), Déclaration obligatoire, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Humains, Incidence, Jeune adulte, Mâle, Notification des maladies à déclaration obligatoire (), Nourrisson, Pandémies (), Prévalence, Répartition par sexe, Répartition par âge, Sous-type H1N1 du virus de la grippe A, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population (), Évaluation des risques ().
- MESH :
- épidémiologie : Allemagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Déclaration obligatoire, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Grippe humaine, Humains, Incidence, Jeune adulte, Mâle, Notification des maladies à déclaration obligatoire, Nourrisson, Pandémies, Prévalence, Répartition par sexe, Répartition par âge, Sous-type H1N1 du virus de la grippe A, 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, Disease Notification (statistics & numerical data), Female, Germany (epidemiology), Humans, Incidence, Infant, Influenza A Virus, H1N1 Subtype, Influenza, Human (epidemiology), Influenza, Human (prevention & control), Male, Mandatory Reporting, Middle Aged, Pandemics (prevention & control), Pandemics (statistics & numerical data), Population Surveillance (methods), Prevalence, Risk Assessment (methods), Risk Factors, Sex Distribution, Young Adult.
- MESH :
- geographic , epidemiology : Germany.
- epidemiology : Influenza, Human.
- methods : Population Surveillance, Risk Assessment.
- prevention & control : Influenza, Human, Pandemics.
- statistics & numerical data : Disease Notification, Pandemics.
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Incidence, Infant, Influenza A Virus, H1N1 Subtype, Male, Mandatory Reporting, Middle Aged, Prevalence, Risk Factors, Sex Distribution, Young Adult.
Abstract
The aim of the investigation is the descriptive analysis of case-based information from mandatory notifications in the first year of the influenza pandemic (H1N1) 2009 in order to identify and describe epidemiological characteristics and risk factors for severe outcome. Four distinct time periods were defined to describe the age distribution of hospitalized and fatal cases. In contrast, stratified (age, sex) analysis of risk factors was carried out for the whole time period of pandemic influenza activity (notification weeks 18/2009 to 17/2010). Characteristic differences in the age distribution of reported cases were observed according to the time period. Among the reported risk factors, immunosuppression exhibited the highest probability for hospitalization or a fatal outcome (OR=8.82; CI95% 7.3-10.6 and OR=37.4; CI95% 25.5-54.8, respectively). The stratified analysis showed that this was especially pronounced for patients in the age group 60 years and above. Single case-based notifications of pandemic influenza have proven to be an invaluable source of information for assessing the epidemiological characteristics of the influenza pandemic 2009 in Germany. In addition, it allows comparative analysis of certain risk groups for severe disease. The information, thus, provides an important contribution for further developing and improving of public health recommendations.
DOI: 10.1007/s00103-010-1158-0
PubMed: 21161471
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Four distinct time periods were defined to describe the age distribution of hospitalized and fatal cases. In contrast, stratified (age, sex) analysis of risk factors was carried out for the whole time period of pandemic influenza activity (notification weeks 18/2009 to 17/2010). Characteristic differences in the age distribution of reported cases were observed according to the time period. Among the reported risk factors, immunosuppression exhibited the highest probability for hospitalization or a fatal outcome (OR=8.82; CI95% 7.3-10.6 and OR=37.4; CI95% 25.5-54.8, respectively). The stratified analysis showed that this was especially pronounced for patients in the age group 60 years and above. Single case-based notifications of pandemic influenza have proven to be an invaluable source of information for assessing the epidemiological characteristics of the influenza pandemic 2009 in Germany. In addition, it allows comparative analysis of certain risk groups for severe disease. 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Four distinct time periods were defined to describe the age distribution of hospitalized and fatal cases. In contrast, stratified (age, sex) analysis of risk factors was carried out for the whole time period of pandemic influenza activity (notification weeks 18/2009 to 17/2010). Characteristic differences in the age distribution of reported cases were observed according to the time period. Among the reported risk factors, immunosuppression exhibited the highest probability for hospitalization or a fatal outcome (OR=8.82; CI95% 7.3-10.6 and OR=37.4; CI95% 25.5-54.8, respectively). The stratified analysis showed that this was especially pronounced for patients in the age group 60 years and above. Single case-based notifications of pandemic influenza have proven to be an invaluable source of information for assessing the epidemiological characteristics of the influenza pandemic 2009 in Germany. In addition, it allows comparative analysis of certain risk groups for severe disease. The information, thus, provides an important contribution for further developing and improving of public health recommendations.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Buda</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Robert Koch-Institut, DGZ-Ring 1, 13086, Berlin, Deutschland. BudaS@rki.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Köpke</LastName><ForeName>K</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>W</ForeName><Initials>W</Initials></Author></AuthorList><Language>ger</Language><PublicationTypeList><PublicationType UI="D004740">English Abstract</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>Epidemiologischer Steckbrief der pandemischen Influenza (H1N1) 2009 basierend auf Einzelfallmeldungen nach Infektionsschutzgesetz.</VernacularTitle></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz</MedlineTA><NlmUniqueID>101181368</NlmUniqueID><ISSNLinking>1436-9990</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="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="D018563" MajorTopicYN="N">Disease Notification</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></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="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019221" MajorTopicYN="Y">Mandatory Reporting</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017678" MajorTopicYN="N">Sex Distribution</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>4</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">21161471</ArticleId><ArticleId IdType="doi">10.1007/s00103-010-1158-0</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="Haas, W" sort="Haas, W" uniqKey="Haas W" first="W" last="Haas">W. Haas</name><name sortKey="Kopke, K" sort="Kopke, K" uniqKey="Kopke K" first="K" last="Köpke">K. Köpke</name></noCountry><country name="Allemagne"><region name="Berlin"><name sortKey="Buda, S" sort="Buda, S" uniqKey="Buda S" first="S" last="Buda">S. Buda</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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