Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination
dc.contributor.author | Jürchott, Karsten | |
dc.contributor.author | Schulz, Axel Ronald | |
dc.contributor.author | Bozzetti, Cecilia | |
dc.contributor.author | Pohlmann, Dominika | |
dc.contributor.author | Stervbo, Ulrik | |
dc.contributor.author | Warth, Sarah | |
dc.contributor.author | Mälzer, Julia Nora | |
dc.contributor.author | Waldner, Julian | |
dc.contributor.author | Schweiger, Brunhilde | |
dc.contributor.author | Olek, Sven | |
dc.contributor.author | Grützkau, Andreas | |
dc.contributor.author | Babel, Nina | |
dc.contributor.author | Thiel, Andreas | |
dc.contributor.author | Neumann, Avidan Uriel | |
dc.date.accessioned | 2018-05-07T19:00:40Z | |
dc.date.available | 2018-05-07T19:00:40Z | |
dc.date.created | 2016-04-29 | |
dc.date.issued | 2016-03-08 | none |
dc.identifier.other | http://edoc.rki.de/oa/articles/reUHZlHaOSNOg/PDF/28ZGfH0MMEkw.pdf | |
dc.identifier.uri | http://edoc.rki.de/176904/2311 | |
dc.description.abstract | 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 ( | eng |
dc.language.iso | eng | |
dc.publisher | Robert Koch-Institut, Infektionskrankheiten / Erreger | |
dc.subject | Vaccination | eng |
dc.subject | Germany | eng |
dc.subject | Humans | eng |
dc.subject | Adult | eng |
dc.subject | Aged | eng |
dc.subject | Middle Aged | eng |
dc.subject | Young Adult | eng |
dc.subject | Seasons | eng |
dc.subject | Influenza Human/prevention & control | eng |
dc.subject | Age Factors | eng |
dc.subject | Influenza Human/immunology | eng |
dc.subject | Lymphocyte Activation | eng |
dc.subject | Computer Simulation | eng |
dc.subject | Influenza A Virus H1N1 Subtype/immunology | eng |
dc.subject | Influenza Vaccines/immunology | eng |
dc.subject | Models Statistical | eng |
dc.subject | Pilot Projects | eng |
dc.subject | T-Lymphocyte Subsets/immunology | eng |
dc.subject | Immunity Innate | eng |
dc.subject | Lymphocyte Count | eng |
dc.subject | T-Lymphocyte Subsets/metabolism | eng |
dc.subject.ddc | 610 Medizin | |
dc.title | Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination | |
dc.type | periodicalPart | |
dc.identifier.urn | urn:nbn:de:0257-10044936 | |
dc.identifier.doi | 10.1371/journal.pone.0150812 | |
dc.identifier.doi | http://dx.doi.org/10.25646/2236 | |
local.edoc.container-title | PLoS ONE | |
local.edoc.fp-subtype | Artikel | |
local.edoc.type-name | Zeitschriftenartikel | |
local.edoc.container-type | periodical | |
local.edoc.container-type-name | Zeitschrift | |
local.edoc.container-url | http://journals.plos.org/plosone/article/authors?id=10.1371%2Fjournal.pone.0150812 | |
local.edoc.container-publisher-name | Public Library of Science | |
local.edoc.container-volume | 11 | |
local.edoc.container-issue | 3 | |
local.edoc.container-year | 2016 |