Development, study, and comparison of models of cross-immunity to the influenza virus using statistical methods and machine learning.
Journal:
Voprosy virusologii
PMID:
39361928
Abstract
INTRODUCTION: The World Health Organization considers the values of antibody titers in the hemagglutination inhibition assay as one of the most important criteria for assessing successful vaccination. Mathematical modeling of cross-immunity allows for identification on a real-time basis of new antigenic variants, which is of paramount importance for human health.