Literature DB >> 21161471

[Epidemiological characteristics of the influenza pandemic (H1N1) 2009 in Germany based on the mandatory notification of cases].

S Buda1, K Köpke, W Haas.   

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.

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Year:  2010        PMID: 21161471     DOI: 10.1007/s00103-010-1158-0

Source DB:  PubMed          Journal:  Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz        ISSN: 1436-9990            Impact factor:   1.513


  11 in total

1.  Pandemic influenza A(H1)pdm09 in hospitals and intensive care units - results from a new hospital surveillance, Germany 2009/2010.

Authors:  Cornelia Adlhoch; Maria Wadl; Michael Behnke; Luis Alberto Peña Diaz; Jörg Clausmeyer; Tim Eckmanns
Journal:  Influenza Other Respir Viruses       Date:  2012-07-13       Impact factor: 4.380

2.  Assessment of Baseline Antibodies to Pandemic Influenza A/H1N1/2009 Virus in Ogbomoso, Oyo State, Nigeria.

Authors:  E K Oladipo; E H Awoyelu; J K Oloke
Journal:  Pathog Glob Health       Date:  2018-04-23       Impact factor: 2.894

3.  Prospective hospital-based case-control study to assess the effectiveness of pandemic influenza A(H1N1)pdm09 vaccination and risk factors for hospitalization in 2009-2010 using matched hospital and test-negative controls.

Authors:  Wiebke Hellenbrand; Pernille Jorgensen; Brunhilde Schweiger; Gerhard Falkenhorst; Matthias Nachtnebel; Benedikt Greutélaers; Christian Traeder; Ole Wichmann
Journal:  BMC Infect Dis       Date:  2012-05-31       Impact factor: 3.090

4.  Lessons from a one-year hospital-based surveillance of acute respiratory infections in Berlin- comparing case definitions to monitor influenza.

Authors:  Matthias Nachtnebel; Benedikt Greutelaers; Gerhard Falkenhorst; Pernille Jorgensen; Manuel Dehnert; Brunhilde Schweiger; Christian Träder; Silke Buda; Tim Eckmanns; Ole Wichmann; Wiebke Hellenbrand
Journal:  BMC Public Health       Date:  2012-03-27       Impact factor: 3.295

5.  Prevalence of antibodies to 2009 pandemic influenza A (H1N1) virus in German adult population in pre- and post-pandemic period.

Authors:  Sandra Dudareva; Brunhilde Schweiger; Michel Thamm; Michael Höhle; Klaus Stark; Gérard Krause; Silke Buda; Walter Haas
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

6.  Differential use of antivirals for treatment of patients with influenza A(H1N1)pdm09 in Germany.

Authors:  Annicka Reuss; Manuel Dehnert; Silke Buda; Walter Haas
Journal:  Influenza Other Respir Viruses       Date:  2013-08-20       Impact factor: 4.380

7.  Characteristics and outcomes of a cohort hospitalized for pandemic and seasonal influenza in Germany based on nationwide inpatient data.

Authors:  Daniel von der Beck; Werner Seeger; Susanne Herold; Andreas Günther; Benjamin Löh
Journal:  PLoS One       Date:  2017-07-14       Impact factor: 3.240

8.  Establishing an ICD-10 code based SARI-surveillance in Germany - description of the system and first results from five recent influenza seasons.

Authors:  S Buda; K Tolksdorf; E Schuler; R Kuhlen; W Haas
Journal:  BMC Public Health       Date:  2017-06-30       Impact factor: 3.295

9.  Unchanged severity of influenza A(H1N1)pdm09 infection in children during first postpandemic season.

Authors:  Mathias Altmann; Lena Fiebig; Silke Buda; Rüdiger von Kries; Manuel Dehnert; Walter Haas
Journal:  Emerg Infect Dis       Date:  2012-11       Impact factor: 6.883

Review 10.  Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis.

Authors:  Dominik Mertz; Tae Hyong Kim; Jennie Johnstone; Po-Po Lam; Michelle Science; Stefan P Kuster; Shaza A Fadel; Dat Tran; Eduardo Fernandez; Neera Bhatnagar; Mark Loeb
Journal:  BMJ       Date:  2013-08-23
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