Logo of Robert Koch InstituteLogo of Robert Koch Institute
Publication Server of Robert Koch Instituteedoc
de|en
View Item 
  • edoc-Server Home
  • Artikel in Fachzeitschriften
  • Artikel in Fachzeitschriften
  • View Item
  • edoc-Server Home
  • Artikel in Fachzeitschriften
  • Artikel in Fachzeitschriften
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Artikel in Fachzeitschriften
  • Artikel in Fachzeitschriften
  • View Item
  • edoc-Server Home
  • Artikel in Fachzeitschriften
  • Artikel in Fachzeitschriften
  • View Item
2016-03-08Zeitschriftenartikel DOI: 10.1371/journal.pone.0150812
Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination
Jürchott, Karsten
Schulz, Axel Ronald
Bozzetti, Cecilia
Pohlmann, Dominika
Stervbo, Ulrik
Warth, Sarah
Mälzer, Julia Nora
Waldner, Julian
Schweiger, Brunhilde
Olek, Sven
Grützkau, Andreas
Babel, Nina
Thiel, Andreas
Neumann, Avidan Uriel
Understanding the immune response after vaccination against new influenza strains is highly important in case of an imminent influenza pandemic and for optimization of seasonal vaccination strategies in high risk population groups, especially the elderly. Models predicting the best sero-conversion response among the three strains in the seasonal vaccine were recently suggested. However, these models use a large number of variables and/or information post- vaccination. Here in an exploratory pilot study, we analyzed the baseline immune status in young (
Files in this item
Thumbnail
28ZGfH0MMEkw.pdf — Adobe PDF — 1.390 Mb
MD5: 633667701d86839e3b31ab8aab4466fc
Cite
BibTeX
EndNote
RIS
No license information
Details

Related Items

Show related Items with similar Title, Author, Creator or Subject.

  • 2016-02-18Zeitschriftenartikel
    Vaccine effectiveness in preventing laboratory-confirmed influenza in primary care patients in a season of co-circulation of influenza A(H1N1)pdm09, B and drifted A(H3N2), I-MOVE Multicentre Case–Control Study, Europe 2014/15 
    Valenciano, Marta; Kissling, Esther; Reuss, Annicka; Rizzo, C.; Gherasim, A.; Horváth, Judit K.; Domegan, L.; Pitigoi, Daniela; Machado, Ausenda; Bella, A.; Paradowska-Stankiewicz, I.; Larrauri, A.; Ferenczi, A.; O´Donell, Joan; Lazar, M.; Pechirra, P.; Korczyńska, M. R.; Pozo, Francisco; Moren, A.
    Influenza A(H3N2), A(H1N1)pdm09 and B viruses co-circulated in Europe in 2014/15. We undertook a multicentre case–control study in eight European countries to measure 2014/15 influenza vaccine effectiveness (VE) against ...
  • 2016-10-13Zeitschriftenartikel
    Improving influenza virological surveillance in Europe: strain-based reporting of antigenic and genetic characterisation data, 11 European countries, influenza season 2013/14 
    Broberg, E.; Hungnes, Olav; Schweiger, Brunhilde; Prosenc, Katarina; Daniels, R.; Guiomar, R.; Ikonen, N.; Kossyvakis, A.; Pozo, Francisco; Puzelli, S.; Thomas, I.; Waters, A.; Wiman, Å.; Meijer, Adam
    Influenza antigenic and genetic characterisation data are crucial for influenza vaccine composition decision making. Previously, aggregate data were reported to the European Centre for Disease Prevention and Control by ...
  • 2013-02-14Zeitschriftenartikel
    Early estimates of seasonal influenza vaccine effectiveness in Europe: results from the i-move multicentre case–control study, 2012/13 
    Valenciano, M.; Kissling, E.
    We conducted a test-negative case–control study based in five European sentinel surveillance networks. The early 2012/13 adjusted influenza vaccine effectiveness was 78.2% (95% CI: 18.0 to 94.2) against influenza B, 62.1% ...
Terms of Use Imprint Policy Data Privacy Statement Contact

The Robert Koch Institute is a Federal Institute

within the portfolio of the Federal Ministry of Health

© Robert Koch Institute

All rights reserved unless explicitly granted.

 
DOI
10.1371/journal.pone.0150812
Permanent URL
https://doi.org/10.1371/journal.pone.0150812
HTML
<a href="https://doi.org/10.1371/journal.pone.0150812">https://doi.org/10.1371/journal.pone.0150812</a>