Unknown

Dataset Information

Modeling the potential health impacts of delayed strain selection on influenza hospitalization and mortality with mRNA vaccines.


ABSTRACT:

Background

Influenza viruses are constantly evolving through antigenic drift, which makes vaccines potentially ill-matched to circulating strains due to the time between strain selection and distribution. mRNA technology could improve vaccine effectiveness (VE) by reducing this time. Significant private and public investments would be required to accommodate accelerated vaccine development and approval. Hence, it is important to understand the potential impact of mRNA technology on influenza hospitalizations and mortality.

Methods

We developed an age-stratified dynamic model of influenza transmission to evaluate the potential impact of increased VE (increased protection against either infection or only hospitalization) on hospitalizations and mortality in the United States.

SUBMITTER: Haghpanah F 

PROVIDER: S-EPMC10090206 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature