TY - GEN T1 - Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination AU - Jürchott, Karsten AU - Schulz, Axel Ronald AU - Bozzetti, Cecilia AU - Pohlmann, Dominika AU - Stervbo, Ulrik AU - Warth, Sarah AU - Mälzer, Julia Nora AU - Waldner, Julian AU - Schweiger, Brunhilde AU - Olek, Sven AU - Grützkau, Andreas AU - Babel, Nina AU - Thiel, Andreas AU - Neumann, Avidan Uriel AB - 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 ( KW - Vaccination KW - Germany KW - Humans KW - Adult KW - Aged KW - Middle Aged KW - Young Adult KW - Seasons KW - Influenza Human/prevention & control KW - Age Factors KW - Influenza Human/immunology KW - Lymphocyte Activation KW - Computer Simulation KW - Influenza A Virus H1N1 Subtype/immunology KW - Influenza Vaccines/immunology KW - Models Statistical KW - Pilot Projects KW - T-Lymphocyte Subsets/immunology KW - Immunity Innate KW - Lymphocyte Count KW - T-Lymphocyte Subsets/metabolism KW - 610 Medizin PY - 2016 LA - eng PB - Robert Koch-Institut, Infektionskrankheiten / Erreger VL - 11 IS - 3 DO - 10.1371/journal.pone.0150812 ER -