The first wave of pandemic influenza (H1N1) 2009 in Germany: from initiation to acceleration.
Identifieur interne : 000328 ( Main/Exploration ); précédent : 000327; suivant : 000329The first wave of pandemic influenza (H1N1) 2009 in Germany: from initiation to acceleration.
Auteurs : Gabriele Poggensee [Allemagne] ; Andreas Gilsdorf ; Silke Buda ; Tim Eckmanns ; Hermann Claus ; Doris Altmann ; Gérard Krause ; Walter HaasSource :
- BMC infectious diseases [ 1471-2334 ] ; 2010.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Allemagne (épidémiologie), Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs de risque, Femelle, Flambées de maladies, Grippe humaine (anatomopathologie), Grippe humaine (mortalité), Grippe humaine (virologie), Grippe humaine (épidémiologie), Hospitalisation (), Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Pneumopathie infectieuse (épidémiologie), Sous-type H1N1 du virus de la grippe A (isolement et purification), Sujet âgé, Sujet âgé de 80 ans ou plus.
- MESH :
- anatomopathologie : Grippe humaine.
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- mortalité : Grippe humaine.
- virologie : Grippe humaine.
- épidémiologie : Allemagne, Grippe humaine, Pneumopathie infectieuse.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Facteurs de l'âge, Facteurs de risque, Femelle, Flambées de maladies, Hospitalisation, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Disease Outbreaks, Female, Germany (epidemiology), Hospitalization (statistics & numerical data), Humans, Infant, Infant, Newborn, Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (epidemiology), Influenza, Human (mortality), Influenza, Human (pathology), Influenza, Human (virology), Male, Middle Aged, Pneumonia (epidemiology), Risk Factors, Young Adult.
- MESH :
- geographic , epidemiology : Germany.
- epidemiology : Influenza, Human, Pneumonia.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- mortality : Influenza, Human.
- pathology : Influenza, Human.
- statistics & numerical data : Hospitalization.
- virology : Influenza, Human.
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Disease Outbreaks, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Risk Factors, Young Adult.
Abstract
BACKGROUND
The first imported case of pandemic influenza (H1N1) 2009 in Germany was confirmed in April 2009. However, the first wave with measurable burden of disease started only in October 2009. The basic epidemiological and clinical characteristics of the pandemic were analysed in order to understand the course of the pandemic in Germany.
METHODS
The analysis was based on data from the case-based, mandatory German surveillance system for infectious diseases. Cases notified between 27 April and 11 November 2009 and fulfilling the case definition were included in the study.
RESULTS
Two time periods with distinct epidemiologic characteristics could be determined: 23,789 cases (44.1%) occurred during the initiation period (IP, week 18 to 41), and 30,179 (55.9%) during the acceleration period (AP, week 42 to 45). During IP, coinciding with school summer holidays, 61.1% of cases were travel-related and one death occurred. Strict containment efforts were performed until week 32. During AP the majority of cases (94.3%) was autochthonous, 12 deaths were reported. The main affected age group shifted from 15 to 19 years in IP to 10 to 14 years in AP (median age 19 versus 15 years; p < 0.001). The proportion of cases with underlying medical conditions increased from 4.7% to 6.9% (p < 0.001). Irrespective of the period, these cases were more likely to be hospitalised (OR = 3.6 [95% CI: 3.1; 4.3]) and to develop pneumonia (OR = 8.1 [95% CI: 6.1; 10.7]). Furthermore, young children (0 to 2 years) (OR = 2.8 [95% CI: 1.5; 5.2]) and persons with influenza-like illness (ILI, OR = 1.4 [95% CI: 1.0; 2.1]) had a higher risk to develop pneumonia compared to other age groups and individuals without ILI.
CONCLUSION
The epidemiological differences we could show between summer and autumn 2009 might have been influenced by the school summer holidays and containment efforts. The spread of disease did not result in change of risk groups or severity. Our results show that analyses of case-based information can advise future public health measures.
DOI: 10.1186/1471-2334-10-155
PubMed: 20525408
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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préscolaire</term><term>Facteurs de l'âge</term><term>Facteurs de risque</term><term>Femelle</term><term>Flambées de maladies</term><term>Hospitalisation</term><term>Humains</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><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>The first imported case of pandemic influenza (H1N1) 2009 in Germany was confirmed in April 2009. However, the first wave with measurable burden of disease started only in October 2009. The basic epidemiological and clinical characteristics of the pandemic were analysed in order to understand the course of the pandemic in Germany.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>The analysis was based on data from the case-based, mandatory German surveillance system for infectious diseases. Cases notified between 27 April and 11 November 2009 and fulfilling the case definition were included in the study.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Two time periods with distinct epidemiologic characteristics could be determined: 23,789 cases (44.1%) occurred during the initiation period (IP, week 18 to 41), and 30,179 (55.9%) during the acceleration period (AP, week 42 to 45). During IP, coinciding with school summer holidays, 61.1% of cases were travel-related and one death occurred. Strict containment efforts were performed until week 32. During AP the majority of cases (94.3%) was autochthonous, 12 deaths were reported. The main affected age group shifted from 15 to 19 years in IP to 10 to 14 years in AP (median age 19 versus 15 years; p < 0.001). The proportion of cases with underlying medical conditions increased from 4.7% to 6.9% (p < 0.001). Irrespective of the period, these cases were more likely to be hospitalised (OR = 3.6 [95% CI: 3.1; 4.3]) and to develop pneumonia (OR = 8.1 [95% CI: 6.1; 10.7]). Furthermore, young children (0 to 2 years) (OR = 2.8 [95% CI: 1.5; 5.2]) and persons with influenza-like illness (ILI, OR = 1.4 [95% CI: 1.0; 2.1]) had a higher risk to develop pneumonia compared to other age groups and individuals without ILI.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>The epidemiological differences we could show between summer and autumn 2009 might have been influenced by the school summer holidays and containment efforts. The spread of disease did not result in change of risk groups or severity. Our results show that analyses of case-based information can advise future public health measures.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20525408</PMID><DateCompleted><Year>2010</Year><Month>09</Month><Day>24</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN><JournalIssue CitedMedium="Internet"><Volume>10</Volume><PubDate><Year>2010</Year><Month>Jun</Month><Day>07</Day></PubDate></JournalIssue><Title>BMC infectious diseases</Title><ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation></Journal><ArticleTitle>The first wave of pandemic influenza (H1N1) 2009 in Germany: from initiation to acceleration.</ArticleTitle><Pagination><MedlinePgn>155</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/1471-2334-10-155</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The first imported case of pandemic influenza (H1N1) 2009 in Germany was confirmed in April 2009. However, the first wave with measurable burden of disease started only in October 2009. The basic epidemiological and clinical characteristics of the pandemic were analysed in order to understand the course of the pandemic in Germany.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">The analysis was based on data from the case-based, mandatory German surveillance system for infectious diseases. Cases notified between 27 April and 11 November 2009 and fulfilling the case definition were included in the study.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Two time periods with distinct epidemiologic characteristics could be determined: 23,789 cases (44.1%) occurred during the initiation period (IP, week 18 to 41), and 30,179 (55.9%) during the acceleration period (AP, week 42 to 45). During IP, coinciding with school summer holidays, 61.1% of cases were travel-related and one death occurred. Strict containment efforts were performed until week 32. During AP the majority of cases (94.3%) was autochthonous, 12 deaths were reported. The main affected age group shifted from 15 to 19 years in IP to 10 to 14 years in AP (median age 19 versus 15 years; p < 0.001). The proportion of cases with underlying medical conditions increased from 4.7% to 6.9% (p < 0.001). Irrespective of the period, these cases were more likely to be hospitalised (OR = 3.6 [95% CI: 3.1; 4.3]) and to develop pneumonia (OR = 8.1 [95% CI: 6.1; 10.7]). Furthermore, young children (0 to 2 years) (OR = 2.8 [95% CI: 1.5; 5.2]) and persons with influenza-like illness (ILI, OR = 1.4 [95% CI: 1.0; 2.1]) had a higher risk to develop pneumonia compared to other age groups and individuals without ILI.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">The epidemiological differences we could show between summer and autumn 2009 might have been influenced by the school summer holidays and containment efforts. The spread of disease did not result in change of risk groups or severity. Our results show that analyses of case-based information can advise future public health measures.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Poggensee</LastName><ForeName>Gabriele</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Department for Infectious Disease Epidemiology, Robert Koch Institute, DGZ-Ring 1, 13086 Berlin, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gilsdorf</LastName><ForeName>Andreas</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Buda</LastName><ForeName>Silke</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Eckmanns</LastName><ForeName>Tim</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Claus</LastName><ForeName>Hermann</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Altmann</LastName><ForeName>Doris</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><CollectiveName>RKI Working Group Pandemic Influenza</CollectiveName></Author><Author ValidYN="Y"><LastName>Krause</LastName><ForeName>Gérard</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>Walter</ForeName><Initials>W</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>06</Month><Day>07</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Infect Dis</MedlineTA><NlmUniqueID>100968551</NlmUniqueID><ISSNLinking>1471-2334</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="D004196" MajorTopicYN="Y">Disease Outbreaks</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="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="N">mortality</QualifierName><QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011014" MajorTopicYN="N">Pneumonia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><InvestigatorList><Investigator ValidYN="Y"><LastName>Alpers</LastName><ForeName>Katharina</ForeName><Initials>K</Initials></Investigator><Investigator ValidYN="Y"><LastName>An der Heiden</LastName><ForeName>Matthias</ForeName><Initials>M</Initials></Investigator><Investigator ValidYN="Y"><LastName>Bartels</LastName><ForeName>Cornelius</ForeName><Initials>C</Initials></Investigator><Investigator ValidYN="Y"><LastName>Bätzing-Feigenbaum</LastName><ForeName>Jörg</ForeName><Initials>J</Initials></Investigator><Investigator ValidYN="Y"><LastName>Becker</LastName><ForeName>Anne</ForeName><Initials>A</Initials></Investigator><Investigator ValidYN="Y"><LastName>Behnke</LastName><ForeName>Susanne</ForeName><Initials>S</Initials></Investigator><Investigator ValidYN="Y"><LastName>Bergholz</LastName><ForeName>Andreas</ForeName><Initials>A</Initials></Investigator><Investigator ValidYN="Y"><LastName>Bernard</LastName><ForeName>Helen</ForeName><Initials>H</Initials></Investigator><Investigator ValidYN="Y"><LastName>Bielecke</LastName><ForeName>Jessica</ForeName><Initials>J</Initials></Investigator><Investigator ValidYN="Y"><LastName>Biere</LastName><ForeName>Barbara</ForeName><Initials>B</Initials></Investigator><Investigator ValidYN="Y"><LastName>Böhmer</LastName><ForeName>Merle</ForeName><Initials>M</Initials></Investigator><Investigator 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