A Statistical Model to Predict Protection Against Infant Respiratory Syncytial Virus Disease Through Maternal Immunization.

ABSTRACT:

Background/objectives

Respiratory syncytial virus (RSV) is the leading cause of severe respiratory disease in infants worldwide. Maternal immunization to protect younger infants is supported by evidence that virus-neutralizing antibodies, which are efficiently transferred across the placenta from mother to fetus, are a primary immune mediator of protection. In maternal RSV vaccine studies, estimates of correlates of protection are elusive because many factors of maternal-fetal immunobiology and disease characteristics must be considered for the estimates.

Methods

We developed statistical models that aims to predict vaccine efficacy (VE) in infants following maternal immunization by including quantifiable covariates of the antibody titer distribution of the mother (pre- and p

SUBMITTER: Cai B 

PROVIDER: S-EPMC11679883 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature