Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2021 Jun 1;11(6):a038315.
doi: 10.1101/cshperspect.a038315.

Influenza Vaccine Effectiveness: New Insights and Challenges

Affiliations
Review

Influenza Vaccine Effectiveness: New Insights and Challenges

Huong Q McLean et al. Cold Spring Harb Perspect Med. .

Abstract

Methods for assessing influenza vaccine efficacy and effectiveness have evolved over six decades. Randomized trials remain the gold standard for licensure, but observational studies are needed for annual assessment of vaccine effectiveness (VE). The test-negative design (TND) has become the de facto standard for these field studies. Patients who seek medical care with acute respiratory illness are tested for influenza, and VE is estimated from the odds of vaccination among influenza cases versus test-negative controls. VE varies across seasons, populations, age groups, and products, but VE estimates are consistently higher for A(H1N1)pdm09 and type B compared with A(H3N2). VE studies are increasingly used in combination with molecular epidemiology to understand the viral and immune system factors that drive clinical efficacy and effectiveness. The emerging field of immunoepidemiology offers the potential to understand complex host-virus interactions that affect vaccine protection, and this knowledge will contribute to universal vaccine development.

PubMed Disclaimer

References

    1. Ainslie KEC, Shi M, Haber M, Orenstein WA. 2017. On the bias of estimates of influenza vaccine effectiveness from test-negative studies. Vaccine 35: 7297–7301. 10.1016/j.vaccine.2017.10.107 - DOI - PMC - PubMed
    1. Arevalo P, McLean HQ, Belongia EA, Cobey S. 2019. Earliest infections predict the age distribution of seasonal influenza A cases. medRxiv 10.1101/19001875 - DOI - PMC - PubMed
    1. Baxter R, Lee J, Fireman B. 2010. Evidence of bias in studies of influenza vaccine effectiveness in elderly patients. J Infect Dis 201: 186–189. 10.1086/649568 - DOI - PubMed
    1. Belongia EA, Sundaram ME, McClure DL, Meece JK, Ferdinands J, VanWormer JJ. 2015. Waning vaccine protection against influenza A (H3N2) illness in children and older adults during a single season. Vaccine 33: 246–251. 10.1016/j.vaccine.2014.06.052 - DOI - PMC - PubMed
    1. Belongia EA, Simpson MD, King JP, Sundaram ME, Kelley NS, Osterholm MT, McLean HQ. 2016. Variable influenza vaccine effectiveness by subtype: a systematic review and meta-analysis of test-negative design studies. Lancet Infect Dis 16: 942–951. 10.1016/S1473-3099(16)00129-8 - DOI - PubMed

MeSH terms

Substances