EconPapers    
Economics at your fingertips  
 

Highly Predictive Model for a Protective Immune Response to the A(H1N1)pdm2009 Influenza Strain after Seasonal Vaccination

Karsten Jürchott, Axel Ronald Schulz, Cecilia Bozzetti, Dominika Pohlmann, Ulrik Stervbo, Sarah Warth, Julia Nora Mälzer, Julian Waldner, Brunhilde Schweiger, Sven Olek, Andreas Grützkau, Nina Babel, Andreas Thiel and Avidan Uriel Neumann

PLOS ONE, 2016, vol. 11, issue 3, 1-22

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 (

Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0150812 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 50812&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0150812

DOI: 10.1371/journal.pone.0150812

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2025-03-19
Handle: RePEc:plo:pone00:0150812